Marco Pavone

IEEE Robotics Autom. Lett., September, 2024

When Efficiency Meets Equity in Congestion Pricing and Revenue Refunding Schemes.

[BibT_eX]

[DOI]

Stephen Zoepf

Hamsa Balakrishnan

IEEE Trans. Control. Netw. Syst., June, 2024

Bayesian Embeddings for Few-Shot Open World Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Trustworthy AI - Part III.

[BibT_eX]

[DOI]

Computer, March, 2024

Risk-Averse Trajectory Optimization via Sample Average Approximation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., February, 2024

Interactive Joint Planning for Autonomous Vehicles.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., February, 2024

The matroid team surviving orienteers problem and its variants: Constrained routing of heterogeneous teams with risky traversal.

[BibT_eX]

[DOI]

Stefan Jorgensen

Int. J. Robotics Res., January, 2024

Sample Average Approximation for Stochastic Programming with Equality Constraints.

[BibT_eX]

[DOI]

SIAM J. Optim., 2024

A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms.

[BibT_eX]

[DOI]

David Esteban Bernal Neira

SIAM J. Optim., 2024

Locomotion as manipulation with ReachBot.

[BibT_eX]

[DOI]

Mathieu G. A. Lapôtre

Sci. Robotics, 2024

Sample-efficient safety assurances using conformal prediction.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

[BibT_eX]

[DOI]

CoRR, 2024

Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline.

[BibT_eX]

[DOI]

Dragos D. Margineantu

Péter Karkus

Claire J. Tomlin

CoRR, 2024

Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers.

[BibT_eX]

[DOI]

Davide Celestini

Amirhossein Afsharrad

CoRR, 2024

LoRD: Adapting Differentiable Driving Policies to Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2024

Offline Hierarchical Reinforcement Learning via Inverse Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Robust Spacecraft Trajectory Optimization via Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress.

[BibT_eX]

[DOI]

CoRR, 2024

Performance assessment of ADAS in a representative subset of critical traffic situations.

[BibT_eX]

[DOI]

CoRR, 2024

Realistic Extreme Behavior Generation for Improved AV Testing.

[BibT_eX]

[DOI]

CoRR, 2024

Promptable Closed-loop Traffic Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

OmniRe: Omni Urban Scene Reconstruction.

[BibT_eX]

[DOI]

Janick Martinez Esturo

CoRR, 2024

Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction.

[BibT_eX]

[DOI]

CoRR, 2024

Adapting a Foundation Model for Space-based Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Diagnostic Runtime Monitoring with Martingales.

[BibT_eX]

[DOI]

CoRR, 2024

Wolf: Captioning Everything with a World Summarization Framework.

[BibT_eX]

[DOI]

CoRR, 2024

VILA<sup>2</sup>: VILA Augmented VILA.

[BibT_eX]

[DOI]

CoRR, 2024

Real-Time Anomaly Detection and Reactive Planning with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2024

Martian Exploration of Lava Tubes (MELT) with ReachBot: Scientific Investigation and Concept of Operations.

[BibT_eX]

[DOI]

Mathieu G. A. Lapôtre

CoRR, 2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.

[BibT_eX]

[DOI]

CoRR, 2024

Memorize What Matters: Emergent Scene Decomposition from Multitraverse.

[BibT_eX]

[DOI]

CoRR, 2024

DiffuBox: Refining 3D Object Detection with Point Diffusion.

[BibT_eX]

[DOI]

CoRR, 2024

ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog.

[BibT_eX]

[DOI]

Tony G. Chen

Julia Di

Stephanie Newdick

Mathieu G. A. Lapôtre

CoRR, 2024

RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Language-Image Models with 3D Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).

[BibT_eX]

[DOI]

Luis A. Pabon

Johannes Köhler

John Irvin Alora

Patrick Benito Eberhard

Andrea Carron

Melanie N. Zeilinger

CoRR, 2024

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.

[BibT_eX]

[DOI]

CoRR, 2024

Credit vs. Discount-Based Congestion Pricing: A Comparison Study.

[BibT_eX]

[DOI]

Chih-Yuan Chiu

CoRR, 2024

Task-Driven Manipulation with Reconfigurable Parallel Robots.

[BibT_eX]

[DOI]

Daniel Morton

CoRR, 2024

Q-SLAM: Quadric Representations for Monocular SLAM.

[BibT_eX]

[DOI]

CoRR, 2024

To Spend or to Gain: Online Learning in Repeated Karma Auctions.

[BibT_eX]

[DOI]

CoRR, 2024

Decentralized Implicit Differentiation.

[BibT_eX]

[DOI]

Lucas Fuentes Valenzuela

CoRR, 2024

Parallelized Spatiotemporal Binding.

[BibT_eX]

[DOI]

CoRR, 2024

Contingency Planning Using Bi-level Markov Decision Processes for Space Missions.

[BibT_eX]

[DOI]

CoRR, 2024

Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs.

[BibT_eX]

[DOI]

CoRR, 2024

When Simple is Near-Optimal in Security Games.

[BibT_eX]

[DOI]

Michael Ostrovsky

David Esteban Bernal Neira

CoRR, 2024

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications.

[BibT_eX]

[DOI]

Eleanor Gilbert Rieffel

CoRR, 2024

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.

[BibT_eX]

[DOI]

CoRR, 2024

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators.

[BibT_eX]

[DOI]

Christopher Agia

Guillem Casadesus Vila

CoRR, 2024

Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation.

[BibT_eX]

[DOI]

Anthony Degleris

Lucas Fuentes Valenzuela

Ram Rajagopal

Abbas El Gamal

Proceedings of the IEEE International Conference on Communications, 2024

Learning for CasADi: Data-driven models in numerical optimization.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Online Distribution Shift Detection via Recency Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Parallelized Spatiotemporal Slot Binding for Videos.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Informatics in Control, 2024

Real-Time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning.

[BibT_eX]

[DOI]

Aaryan Singhal

Daniele Gammelli

Justin Luke

Dominik Helmreich

Proceedings of the European Control Conference, 2024

Dolphins: Multimodal Language Model for Driving.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Driving Everywhere with Large Language Model Policy Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Accelerating Continuous Variable Coherent Ising Machines via Momentum.

[BibT_eX]

[DOI]

David E. Bernal Neira

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

Partial-View Object View Synthesis via Filtering Inversion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2024

2023

Text2Motion: from natural language instructions to feasible plans.

[BibT_eX]

[DOI]

Auton. Robots, December, 2023

Semantic anomaly detection with large language models.

[BibT_eX]

[DOI]

Auton. Robots, December, 2023

Near-Optimal Multi-Robot Motion Planning with Finite Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, October, 2023

Balancing fairness and efficiency in traffic routing via interpolated traffic assignment.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., October, 2023

Control-oriented meta-learning.

[BibT_eX]

[DOI]

Int. J. Robotics Res., September, 2023

Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms.

[BibT_eX]

[DOI]

Games Econ. Behav., September, 2023

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., August, 2023

Robust feedback motion planning via contraction theory.

[BibT_eX]

[DOI]

Benoit Landry

Anirudha Majumdar

Int. J. Robotics Res., August, 2023

Co-design of communication and machine inference for cloud robotics.

[BibT_eX]

[DOI]

Manabu Nakanoya

Sai Shankar Narasimhan

Sharachchandra Bhat

Alexandros Anemogiannis

Auton. Robots, June, 2023

Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods.

[BibT_eX]

[DOI]

Nikos Aréchiga

Int. J. Robotics Res., May, 2023

Trustworthy AI - Part II.

[BibT_eX]

[DOI]

Computer, May, 2023

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., April, 2023

Trustworthy AI - Part 1.

[BibT_eX]

[DOI]

Computer, February, 2023

Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2023

Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements.

[BibT_eX]

[DOI]

INFORMS J. Comput., 2023

Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent.

[BibT_eX]

[DOI]

Yuxiao Chen

Sander Tonkens

CoRR, 2023

A Language Agent for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous.

[BibT_eX]

[DOI]

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic locational marginal emissions via implicit differentiation.

[BibT_eX]

[DOI]

Lucas Fuentes Valenzuela

CoRR, 2023

Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications.

[BibT_eX]

[DOI]

CoRR, 2023

Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

trajdata: A Unified Interface to Multiple Human Trajectory Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility.

[BibT_eX]

[DOI]

IROS, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BITS: Bi-level Imitation for Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Motion Planning for a Climbing Robot with Stochastic Grasps.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning.

[BibT_eX]

[DOI]

James Harrison

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tree-structured Policy Planning with Learned Behavior Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Control-Oriented Dynamical Structure from Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Graph Reinforcement Learning for Network Control via Bi-Level Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Robust and Controllable Object-Centric Learning through Energy-based Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization.

[BibT_eX]

[DOI]

Jiawei Yang

Yue Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors.

[BibT_eX]

[DOI]

Sushant Veer

Apoorva Sharma

Proceedings of the Conference on Robot Learning, 2023

Language Conditioned Traffic Generation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Differentially Private Stochastic Convex Optimization for Network Routing Applications.

[BibT_eX]

[DOI]

Kaidi Yang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Closing the Loop on Runtime Monitors with Fallback-Safe MPC.

[BibT_eX]

[DOI]

Rohan Sinha

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Exact Characterization of the Convex Hulls of Reachable Sets.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Nonlinear Reduced-Order Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Autonomous Vehicle Safety Concepts from Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

Online Learning for Traffic Routing under Unknown Preferences.

[BibT_eX]

[DOI]

Ramesh Johari

Salomón Wollenstein-Betech

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic.

[BibT_eX]

[DOI]

Arian Houshmand

Ioannis Ch. Paschalidis

Christos G. Cassandras

IEEE Trans. Intell. Transp. Syst., 2022

Trust but Verify: Cryptographic Data Privacy for Mobility Management.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

Linear Reduced-Order Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2022

Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Safe Reinforcement Learning Using Black-Box Reachability Analysis.

[BibT_eX]

[DOI]

Karl Henrik Johansson

IEEE Robotics Autom. Lett., 2022

CoCo: Online Mixed-Integer Control Via Supervised Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Optimal Picking Policies in E-Commerce Warehouses.

[BibT_eX]

[DOI]

Manag. Sci., 2022

Technical Note - Online Hypergraph Matching with Delays.

[BibT_eX]

[DOI]

Oper. Res., 2022

A System-Level View on Out-of-Distribution Data in Robotics.

[BibT_eX]

[DOI]

CoRR, 2022

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Robust Model Predictive Control via Uncertainty Cancellation.

[BibT_eX]

[DOI]

CoRR, 2022

Online Distribution Shift Detection via Recency Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Foundation Models for Semantic Novelty in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission.

[BibT_eX]

[DOI]

CoRR, 2022

Copositive programming for mixed-binary quadratic optimization via Ising solvers.

[BibT_eX]

[DOI]

David Esteban Bernal Neira

CoRR, 2022

Learning Deep SDF Maps Online for Robot Navigation and Exploration.

[BibT_eX]

[DOI]

CoRR, 2022

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.

[BibT_eX]

[DOI]

CoRR, 2022

Private and Decentralized Location Sharing for Congestion-Aware Routing.

[BibT_eX]

[DOI]

Kaidi Yang

CoRR, 2022

Analysis and Control of Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2022

Local calibration: metrics and recalibration.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation.

[BibT_eX]

[DOI]

Xinshuo Weng

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Injecting Planning-Awareness into Prediction and Detection Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Private Location Sharing for Decentralized Routing Services.

[BibT_eX]

[DOI]

Kaidi Yang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2022

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Propagating State Uncertainty Through Trajectory Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

ReachBot: A Small Robot with Exceptional Reach for Rough Terrain.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Motron: Multimodal Probabilistic Human Motion Forecasting.

[BibT_eX]

[DOI]

Tim Salzmann

Markus Ryll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning.

[BibT_eX]

[DOI]

Yuxiao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Robust Trajectory Prediction against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Using Spectral Submanifolds for Nonlinear Periodic Control.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks.

[BibT_eX]

[DOI]

Shushman Choudhury

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

Second-Order Sensitivity Analysis for Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On the Interaction Between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

On Local Computation for Network-Structured Convex Optimization in Multiagent Systems.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC.

[BibT_eX]

[DOI]

Christopher Harald Onder

IEEE Robotics Autom. Lett., 2021

Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Efficient Large-Scale Multi-Drone Delivery using Transit Networks.

[BibT_eX]

[DOI]

Shushman Choudhury

J. Artif. Intell. Res., 2021

Learning stabilizable nonlinear dynamics with contraction-based regularization.

[BibT_eX]

[DOI]

Vikas Sindhwani

Int. J. Robotics Res., 2021

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2021

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.

[BibT_eX]

[DOI]

CoRR, 2021

ReachBot: A Small Robot for Large Mobile Manipulation Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements.

[BibT_eX]

[DOI]

CoRR, 2021

Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments.

[BibT_eX]

[DOI]

CoRR, 2021

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Trajectory Forecasting Evaluation.

[BibT_eX]

[DOI]

CoRR, 2021

Analysis and Control of Autonomous Mobility-on-Demand Systems: A Review.

[BibT_eX]

[DOI]

CoRR, 2021

Convex Optimization for Trajectory Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas.

[BibT_eX]

[DOI]

Michael T. Wolf

CoRR, 2021

Network offloading policies for cloud robotics: a learning-based approach.

[BibT_eX]

[DOI]

Auton. Robots, 2021

Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods.

[BibT_eX]

[DOI]

Nikos Aréchiga

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Sketching curvature for efficient out-of-distribution detection for deep neural networks.

[BibT_eX]

[DOI]

Apoorva Sharma

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Co-Design of Communication and Machine Inference for Cloud Robotics.

[BibT_eX]

[DOI]

Manabu Nakanoya

Sandeep Chinchali

Alexandros Anemogiannis

Akul Datta

Sachin Katti

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Lyapunov-stable neural-network control.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Data Sharing and Compression for Cooperative Networked Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions.

[BibT_eX]

[DOI]

Benoit Landry

Hongkai Dai

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Particle MPC for Uncertain and Learning-Based Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Soft Robot Optimal Control Via Reduced Order Finite Element Models.

[BibT_eX]

[DOI]

Sander Tonkens

Joseph Lorenzetti

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition.

[BibT_eX]

[DOI]

Michael T. Wolf

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems.

[BibT_eX]

[DOI]

Andrew Bylard

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Intermodal Autonomous Mobility-on-Demand.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

Task-relevant Representation Learning for Networked Robotic Perception.

[BibT_eX]

[DOI]

Manabu Nakanoya

Sandeep Chinchali

Alexandros Anemogiannis

Akul Datta

Sachin Katti

CoRR, 2020

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.

[BibT_eX]

[DOI]

CoRR, 2020

Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot.

[BibT_eX]

[DOI]

CoRR, 2020

Sequential Convex Programming For Non-Linear Stochastic Optimal Control.

[BibT_eX]

[DOI]

CoRR, 2020

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Markets for Efficient Public Good Allocation.

[BibT_eX]

[DOI]

Yinyu Ye

CoRR, 2020

The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version).

[BibT_eX]

[DOI]

Ali-akbar Agha-mohammadi

CoRR, 2020

On the Co-Design of AV-Enabled Mobility Systems.

[BibT_eX]

[DOI]

CoRR, 2020

On Local Computation for Optimization in Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan.

[BibT_eX]

[DOI]

Andrea Tagliabue

Stephanie Schneider

Ali-akbar Agha-mohammadi

CoRR, 2020

Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control.

[BibT_eX]

[DOI]

CoRR, 2020

Online Hypergraph Matching with Delays.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Markets for Efficient Public Good Allocation with Social Distancing.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.

[BibT_eX]

[DOI]

Masha Itkina

Ransalu Senanayake

Salomón Wollenstein-Betech

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continuous Meta-Learning without Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Co-Design of AV-Enabled Mobility Systems.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic.

[BibT_eX]

[DOI]

Arian Houshmand

Christos G. Cassandras

Ioannis Ch. Paschalidis

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Interpretable Policies from Formally-Specified Temporal Properties.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Sampling Training Data for Continual Learning Between Robots and the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions.

[BibT_eX]

[DOI]

Xinrui Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sample Complexity of Probabilistic Roadmaps via ε-nets.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Revisiting the Asymptotic Optimality of RRT.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Map-Predictive Motion Planning in Unknown Environments.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Joint Design and Control of Electric Vehicle Propulsion Systems.

[BibT_eX]

[DOI]

Frans J. R. Verbruggen

Theo Hofman

Proceedings of the 18th European Control Conference, 2020

A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme.

[BibT_eX]

[DOI]

Joseph Lorenzetti

Proceedings of the 18th European Control Conference, 2020

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Error Bounds for Reduced Order Model Predictive Control.

[BibT_eX]

[DOI]

Joseph Lorenzetti

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Counter-example guided synthesis of neural network Lyapunov functions for piecewise linear systems.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

StanfordASL/pamod 1.0.1.

[BibT_eX]

[DOI]

Dataset, June, 2019

Analysis, Control, and Evaluation of Mobility-on-Demand Systems: A Queueing-Theoretical Approach.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2019

A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance.

[BibT_eX]

[DOI]

Ross E. Allen

Robotics Auton. Syst., 2019

Robot Motion Planning in Learned Latent Spaces.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2019

Multi-objective optimal control for proactive decision making with temporal logic models.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2019

Towards a Co-Design Framework for Future Mobility Systems.

[BibT_eX]

[DOI]

CoRR, 2019

On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization.

[BibT_eX]

[DOI]

Benoit Landry

Zachary Manchester

Proceedings of the Robotics: Science and Systems XV, 2019

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

High-Dimensional Optimization in Adaptive Random Subspaces.

[BibT_eX]

[DOI]

Jonathan Lacotte

Mert Pilanci

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Backpropagation for Parametric STL.

[BibT_eX]

[DOI]

Nikos Aréchiga

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Optimal Routing and Energy Management Strategies for Plug-in Hybrid Electric Vehicles.

[BibT_eX]

[DOI]

Arian Houshmand

Christos G. Cassandras

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Bilevel Optimization for Planning Through Contact: A Semidirect Method.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2019

Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Reduced Order Model Predictive Control For Setpoint Tracking.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality.

[BibT_eX]

[DOI]

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Risk-Sensitive Generative Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Robust and Adaptive Planning under Model Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Deterministic sampling-based motion planning: Optimality, complexity, and performance.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Modeling Multimodal Dynamic Spatiotemporal Graphs.

[BibT_eX]

[DOI]

CoRR, 2018

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming.

[BibT_eX]

[DOI]

CoRR, 2018

Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy.

[BibT_eX]

[DOI]

Michael T. Wolf

CoRR, 2018

Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms.

[BibT_eX]

[DOI]

Auton. Robots, 2018

The Team Surviving Orienteers problem: routing teams of robots in uncertain environments with survival constraints.

[BibT_eX]

[DOI]

Auton. Robots, 2018

Learning Stabilizable Dynamical Systems via Control Contraction Metrics.

[BibT_eX]

[DOI]

Vikas Sindhwani

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Meta-learning Priors for Efficient Online Bayesian Regression.

[BibT_eX]

[DOI]

James Harrison

Apoorva Sharma

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Signal Temporal Logic Meets Reachability: Connections and Applications.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies.

[BibT_eX]

[DOI]

Tommy Hu

Proceedings of the Robotics: Science and Systems XIV, 2018

Stochastic Model Predictive Control for Autonomous Mobility on Demand.

[BibT_eX]

[DOI]

Ramón Iglesias

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems.

[BibT_eX]

[DOI]

Maximilian Schiffer

Christopher Harald Onder

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generative Modeling of Multimodal Multi-Human Behavior.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cooperative Object Transport in 3D with Multiple Quadrotors Using No Peer Communication.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Sampling Distributions for Robot Motion Planning.

[BibT_eX]

[DOI]

James Harrison

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robust Visual Localization for Hopping Rovers on Small Bodies.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Cellular Network Traffic Scheduling With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-gravity Planetary Bodies.

[BibT_eX]

[DOI]

J. Field Robotics, 2017

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.

[BibT_eX]

[DOI]

CoRR, 2017

A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2017

Special issue on selected and extended papers from SIMPAR 2016.

[BibT_eX]

[DOI]

Adv. Robotics, 2017

Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics.

[BibT_eX]

[DOI]

Anirudha Majumdar

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Perception-Aware Motion Planning via Multiobjective Search on GPUs.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Stochastic Motion Planning for Hopping Rovers on Small Solar System Bodies.

[BibT_eX]

[DOI]

Benjamin J. Hockman

Proceedings of the Robotics Research, The 18th International Symposium, 2017

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models.

[BibT_eX]

[DOI]

Sandeep P. Chinchali

Scott C. Livingston

Proceedings of the Robotics Research, The 18th International Symposium, 2017

The Matroid Team Surviving Orienteers problem: Constrained routing of heterogeneous teams with risky traversal.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

The Team Surviving Orienteers Problem: Routing Robots in Uncertain Environments with Survival Constraints.

[BibT_eX]

[DOI]

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs.

[BibT_eX]

[DOI]

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Robust online motion planning via contraction theory and convex optimization.

[BibT_eX]

[DOI]

Anirudha Majumdar

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs.

[BibT_eX]

[DOI]

Ali-akbar Agha-mohammadi

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Force and moment constraints of a curved surface gripper and wrist for assistive free flyers.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Trajectory Optimization for Dynamic Grasping in Space Using Adhesive Grippers.

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2017

The risk-sensitive coverage problem: Multi-robot routing under uncertainty with service level and survival constraints.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Flying Smartphones: When Portable Computing Sprouts Wings.

[BibT_eX]

[DOI]

Ross E. Allen

Mac Schwager

IEEE Pervasive Comput., 2016

Control of robotic mobility-on-demand systems: A queueing-theoretical perspective.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2016

Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report).

[BibT_eX]

[DOI]

Zachary N. Sunberg

CoRR, 2016

Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics.

[BibT_eX]

[DOI]

CoRR, 2016

Autonomous Vehicle Routing in Congested Road Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Mixed Strategy for Constrained Stochastic Optimal Control.

[BibT_eX]

[DOI]

CoRR, 2016

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Experimental Methods for Mobility and Surface Operations of Microgravity Robots.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Experimental Robotics, 2016

Model predictive control of autonomous mobility-on-demand systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.

[BibT_eX]

[DOI]

Zachary N. Sunberg

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Free-flyer acquisition of spinning objects with gecko-inspired adhesives.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Simultaneous model identification and task satisfaction in the presence of temporal logic constraints.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Risk aversion in finite Markov Decision Processes using total cost criteria and average value at risk.

[BibT_eX]

[DOI]

Stefano Carpin

Yinlam Chow

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Autonomous calibration of MEMS disk resonating gyroscope for improved sensor performance.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Multi-vehicle Routing.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Systems and Control, 2015

Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2015

Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints.

[BibT_eX]

[DOI]

CoRR, 2015

Guest Editorial: Special issue on constrained decision-making in robotics.

[BibT_eX]

[DOI]

Stefano Carpin

Auton. Robots, 2015

Chance-constrained dynamic programming with application to risk-aware robotic space exploration.

[BibT_eX]

[DOI]

Auton. Robots, 2015

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2015

An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Optimal sampling-based motion planning under differential constraints: The driftless case.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Toward a real-time framework for solving the kinodynamic motion planning problem.

[BibT_eX]

[DOI]

Ross E. Allen

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-Gravity Planetary Bodies.

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2015

A convex optimization approach to smooth trajectories for motion planning with car-like robots.

[BibT_eX]

[DOI]

Zhijie Zhu

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Models, algorithms, and evaluation for autonomous mobility-on-demand systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

A queueing network approach to the analysis and control of mobility-on-demand systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Rapid multirobot deployment with time constraints.

[BibT_eX]

[DOI]

Stefano Carpin

Brian M. Sadler

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A machine learning approach for real-time reachability analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A dynamical characterization of internally-actuated microgravity mobility systems.

[BibT_eX]

[DOI]

Adam W. Koenig

Julie C. Castillo-Rogez

Issa A. D. Nesnas

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

On the fundamental limitations of performance for distributed decision-making in robotic networks.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A framework for time-consistent, risk-averse model predictive control: Theory and algorithms.

[BibT_eX]

[DOI]

Yin-Lam Chow

Proceedings of the American Control Conference, 2014

Distributed consensus with mixed time/communication bandwidth performance metrics.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Asymptotically Optimal Algorithms for One-to-One Pickup and Delivery Problems With Applications to Transportation Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2013

Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2013

Internally-actuated rovers for all-access surface mobility: Theory and experimentation.

[BibT_eX]

[DOI]

Julie C. Castillo-Rogez

Tam-Nguyen Nguyen

Jeffrey A. Hoffman

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A uniform-grid discretization algorithm for stochastic optimal control with risk constraints.

[BibT_eX]

[DOI]

Yin-Lam Chow

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Rebalancing the rebalancers: optimally routing vehicles and drivers in mobility-on-demand systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

Stochastic optimal control with dynamic, time-consistent risk constraints.

[BibT_eX]

[DOI]

Yin-Lam Chow

Proceedings of the American Control Conference, 2013

Decentralized decision-making on robotic networks with hybrid performance metrics.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Robotic load balancing for mobility-on-demand systems.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2012

Asymptotically Optimal Algorithms for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems

[BibT_eX]

[DOI]

CoRR, 2012

Models and efficient algorithms for pickup and delivery problems on roadmaps.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A risk-constrained multi-stage decision making approach to the architectural analysis of planetary missions.

[BibT_eX]

[DOI]

Yoshiaki Kuwata

J. Balaram

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Cost bounds for Pickup and Delivery Problems with application to large-scale transportation systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2012

2011

Adaptive and Distributed Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2011

Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2011

Dynamic Vehicle Routing for Robotic Systems.

[BibT_eX]

[DOI]

Proc. IEEE, 2011

Load Balancing for Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems VII, 2011

An asymptotically optimal algorithm for pickup and delivery problems.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Dynamic Vehicle Routing with Priority Classes of Stochastic Demands.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2010

Dynamic vehicle routing with stochastic time constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Fundamental performance limits and efficient polices for Transportation-On-Demand systems.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Sharing the load.

[BibT_eX]

[DOI]

Ketan Savla

IEEE Robotics Autom. Mag., 2009

A Stochastic and Dynamic Vehicle Routing Problem with Time Windows and Customer Impatience.

[BibT_eX]

[DOI]

Mob. Networks Appl., 2009

Equitable Partitioning Policies for Mobile Robotic Networks

[BibT_eX]

[DOI]

CoRR, 2009

Distributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment

[BibT_eX]

[DOI]

CoRR, 2009

Equitable partitioning policies for robotic networks.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Distributed control of spacecraft formation via cyclic pursuit: Theory and experiments.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2009

Dynamic multi-vehicle routing with multiple classes of demands.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2009

2008

Dynamic vehicle routing with heterogeneous demands.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Distributed policies for equitable partitioning: Theory and applications.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Robot Communication and Coordination, 2007

Decentralized algorithms for stochastic and dynamic vehicle routing with general demand distribution.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Decentralized policies for geometric pattern formation.

[BibT_eX]

[DOI]