Marco Pavone

Orcid: 0000-0002-0206-4337

Affiliations:
  • Stanford University, USAjournals/corr/abs-2303-12153


According to our database1, Marco Pavone authored at least 349 papers between 2007 and 2024.

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Bibliography

2024
Bayesian Embeddings for Few-Shot Open World Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Trustworthy AI - Part III.
Computer, March, 2024

Risk-Averse Trajectory Optimization via Sample Average Approximation.
IEEE Robotics Autom. Lett., February, 2024

Interactive Joint Planning for Autonomous Vehicles.
IEEE Robotics Autom. Lett., February, 2024

The matroid team surviving orienteers problem and its variants: Constrained routing of heterogeneous teams with risky traversal.
Int. J. Robotics Res., January, 2024

A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms.
SIAM J. Optim., 2024

Locomotion as manipulation with ReachBot.
Sci. Robotics, 2024

Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation.
CoRR, 2024

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC).
CoRR, 2024

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.
CoRR, 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction.
CoRR, 2024

Credit vs. Discount-Based Congestion Pricing: A Comparison Study.
CoRR, 2024

Task-Driven Manipulation with Reconfigurable Parallel Robots.
CoRR, 2024

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition.
CoRR, 2024

To Spend or to Gain: Online Learning in Repeated Karma Auctions.
CoRR, 2024

Decentralized Implicit Differentiation.
CoRR, 2024

Parallelized Spatiotemporal Binding.
CoRR, 2024

Contingency Planning Using Bi-level Markov Decision Processes for Space Missions.
CoRR, 2024

Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs.
CoRR, 2024

When Simple is Near-Optimal in Security Games.
CoRR, 2024

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications.
CoRR, 2024

Driving Everywhere with Large Language Model Policy Adaptation.
CoRR, 2024

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.
CoRR, 2024

Accelerating Continuous Variable Coherent Ising Machines via Momentum.
CoRR, 2024

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators.
CoRR, 2024

2023
Text2Motion: from natural language instructions to feasible plans.
Auton. Robots, December, 2023

Semantic anomaly detection with large language models.
Auton. Robots, December, 2023

Near-Optimal Multi-Robot Motion Planning with Finite Sampling.
IEEE Trans. Robotics, October, 2023

Balancing fairness and efficiency in traffic routing via interpolated traffic assignment.
Auton. Agents Multi Agent Syst., October, 2023

Control-oriented meta-learning.
Int. J. Robotics Res., September, 2023

Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms.
Games Econ. Behav., September, 2023

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control.
IEEE Trans. Autom. Control., August, 2023

Robust feedback motion planning via contraction theory.
Int. J. Robotics Res., August, 2023

Co-design of communication and machine inference for cloud robotics.
Auton. Robots, June, 2023

Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods.
Int. J. Robotics Res., May, 2023

Trustworthy AI - Part II.
Computer, May, 2023

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.
IEEE Robotics Autom. Lett., April, 2023

Trustworthy AI - Part 1.
Computer, February, 2023

Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions.
IEEE Trans. Netw. Sci. Eng., 2023

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.
CoRR, 2023

Learning for CasADi: Data-driven Models in Numerical Optimization.
CoRR, 2023

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction.
CoRR, 2023

Dolphins: Multimodal Language Model for Driving.
CoRR, 2023

Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent.
CoRR, 2023

A Language Agent for Autonomous Driving.
CoRR, 2023

Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning.
CoRR, 2023

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.
CoRR, 2023

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
CoRR, 2023

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization.
CoRR, 2023

Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous.
CoRR, 2023

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.
CoRR, 2023

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation.
CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.
CoRR, 2023

Dynamic locational marginal emissions via implicit differentiation.
CoRR, 2023

Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications.
CoRR, 2023

Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

trajdata: A Unified Interface to Multiple Human Trajectory Datasets.
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.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility.
IROS, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BITS: Bi-level Imitation for Traffic Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Motion Planning for a Climbing Robot with Stochastic Grasps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tree-structured Policy Planning with Learned Behavior Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Control-Oriented Dynamical Structure from Data.
Proceedings of the International Conference on Machine Learning, 2023

Graph Reinforcement Learning for Network Control via Bi-Level Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models.
Proceedings of the International Conference on Machine Learning, 2023

Robust and Controllable Object-Centric Learning through Energy-based Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.
Proceedings of the Conference on Robot Learning, 2023

Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors.
Proceedings of the Conference on Robot Learning, 2023

Language Conditioned Traffic Generation.
Proceedings of the Conference on Robot Learning, 2023

Differentially Private Stochastic Convex Optimization for Network Routing Applications.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Closing the Loop on Runtime Monitors with Fallback-Safe MPC.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Exact Characterization of the Convex Hulls of Reachable Sets.
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.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Nonlinear Reduced-Order Model Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Autonomous Vehicle Safety Concepts from Demonstrations.
Proceedings of the American Control Conference, 2023

Online Learning for Traffic Routing under Unknown Preferences.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.
IEEE Trans. Robotics, 2022

Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic.
IEEE Trans. Intell. Transp. Syst., 2022

Trust but Verify: Cryptographic Data Privacy for Mobility Management.
IEEE Trans. Control. Netw. Syst., 2022

Linear Reduced-Order Model Predictive Control.
IEEE Trans. Autom. Control., 2022

Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk.
IEEE Trans. Autom. Control., 2022

Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space.
IEEE Robotics Autom. Mag., 2022

Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics.
IEEE Robotics Autom. Lett., 2022

Safe Reinforcement Learning Using Black-Box Reachability Analysis.
IEEE Robotics Autom. Lett., 2022

CoCo: Online Mixed-Integer Control Via Supervised Learning.
IEEE Robotics Autom. Lett., 2022

Optimal Picking Policies in E-Commerce Warehouses.
Manag. Sci., 2022

Technical Note - Online Hypergraph Matching with Delays.
Oper. Res., 2022

A System-Level View on Out-of-Distribution Data in Robotics.
CoRR, 2022

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.
CoRR, 2022

Adaptive Robust Model Predictive Control via Uncertainty Cancellation.
CoRR, 2022

Online Distribution Shift Detection via Recency Prediction.
CoRR, 2022

Foundation Models for Semantic Novelty in Reinforcement Learning.
CoRR, 2022

Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission.
CoRR, 2022

Copositive programming for mixed-binary quadratic optimization via Ising solvers.
CoRR, 2022

Learning Deep SDF Maps Online for Robot Navigation and Exploration.
CoRR, 2022

Sample Average Approximation for Stochastic Programming with Equality Constraints.
CoRR, 2022

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms.
CoRR, 2022

Private and Decentralized Location Sharing for Congestion-Aware Routing.
CoRR, 2022

Analysis and Control of Autonomous Mobility-on-Demand Systems.
Annu. Rev. Control. Robotics Auton. Syst., 2022

Sample-Efficient Safety Assurances Using Conformal Prediction.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022

Local calibration: metrics and recalibration.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings.
Proceedings of the Learning for Dynamics and Control Conference, 2022

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand.
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.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Injecting Planning-Awareness into Prediction and Detection Evaluation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Private Location Sharing for Decentralized Routing Services.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems.
Proceedings of the Robotics Research, 2022

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Propagating State Uncertainty Through Trajectory Forecasting.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

ReachBot: A Small Robot with Exceptional Reach for Rough Terrain.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Motron: Multimodal Probabilistic Human Motion Forecasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.
Proceedings of the Conference on Robot Learning, 2022

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles.
Proceedings of the Conference on Robot Learning, 2022

Robust Trajectory Prediction against Adversarial Attacks.
Proceedings of the Conference on Robot Learning, 2022

Using Spectral Submanifolds for Nonlinear Periodic Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty.
Proceedings of the American Control Conference, 2022

Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications.
Proceedings of the American Control Conference, 2022

Second-Order Sensitivity Analysis for Bilevel Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming.
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.
IEEE Trans. Control. Netw. Syst., 2021

On Local Computation for Network-Structured Convex Optimization in Multiagent Systems.
IEEE Trans. Control. Netw. Syst., 2021

Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC.
IEEE Robotics Autom. Lett., 2021

Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach.
IEEE Robotics Autom. Lett., 2021

Efficient Large-Scale Multi-Drone Delivery using Transit Networks.
J. Artif. Intell. Res., 2021

Learning stabilizable nonlinear dynamics with contraction-based regularization.
Int. J. Robotics Res., 2021

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving.
CoRR, 2021

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.
CoRR, 2021

ReachBot: A Small Robot for Large Mobile Manipulation Tasks.
CoRR, 2021

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements.
CoRR, 2021

On the Interplay between Self-Driving Cars and Public Transportation.
CoRR, 2021

Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments.
CoRR, 2021

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts.
CoRR, 2021

Rethinking Trajectory Forecasting Evaluation.
CoRR, 2021

Analysis and Control of Autonomous Mobility-on-Demand Systems: A Review.
CoRR, 2021

Convex Optimization for Trajectory Generation.
CoRR, 2021

Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment.
CoRR, 2021

Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas.
CoRR, 2021

Network offloading policies for cloud robotics: a learning-based approach.
Auton. Robots, 2021

Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Sketching curvature for efficient out-of-distribution detection for deep neural networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems.
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.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Lyapunov-stable neural-network control.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Data Sharing and Compression for Cooperative Networked Control.
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.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Particle MPC for Uncertain and Learning-Based Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Soft Robot Optimal Control Via Reduced Order Finite Element Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes.
Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Intermodal Autonomous Mobility-on-Demand.
IEEE Trans. Intell. Transp. Syst., 2020

On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms.
IEEE Trans. Control. Netw. Syst., 2020

On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions.
Int. J. Robotics Res., 2020

Task-relevant Representation Learning for Networked Robotic Perception.
CoRR, 2020

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.
CoRR, 2020

Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot.
CoRR, 2020

Sequential Convex Programming For Non-Linear Stochastic Optimal Control.
CoRR, 2020

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.
CoRR, 2020

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems.
CoRR, 2020

Markets for Efficient Public Good Allocation.
CoRR, 2020

The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version).
CoRR, 2020

On the Co-Design of AV-Enabled Mobility Systems.
CoRR, 2020

On Local Computation for Optimization in Multi-Agent Systems.
CoRR, 2020

Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan.
CoRR, 2020

Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control.
CoRR, 2020

Online Hypergraph Matching with Delays.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Markets for Efficient Public Good Allocation with Social Distancing.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continuous Meta-Learning without Tasks.
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.
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.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Interpretable Policies from Formally-Specified Temporal Properties.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Sampling Training Data for Continual Learning Between Robots and the Cloud.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sample Complexity of Probabilistic Roadmaps via ε-nets.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Revisiting the Asymptotic Optimality of RRT.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Map-Predictive Motion Planning in Unknown Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Joint Design and Control of Electric Vehicle Propulsion Systems.
Proceedings of the 18th European Control Conference, 2020

A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme.
Proceedings of the 18th European Control Conference, 2020

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization.
Proceedings of the 18th European Control Conference, 2020

Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems.
Proceedings of the 18th European Control Conference, 2020

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling.
Proceedings of the 4th Conference on Robot Learning, 2020

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control.
Proceedings of the 4th Conference on Robot Learning, 2020

Error Bounds for Reduced Order Model Predictive Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Counter-example guided synthesis of neural network Lyapunov functions for piecewise linear systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
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.
Proceedings of the 2020 American Control Conference, 2020

2019
StanfordASL/pamod 1.0.1.
Dataset, June, 2019

Analysis, Control, and Evaluation of Mobility-on-Demand Systems: A Queueing-Theoretical Approach.
IEEE Trans. Control. Netw. Syst., 2019

A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms.
IEEE Trans. Autom. Control., 2019

A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance.
Robotics Auton. Syst., 2019

Robot Motion Planning in Learned Latent Spaces.
IEEE Robotics Autom. Lett., 2019

A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems.
Int. J. Robotics Res., 2019

Multi-objective optimal control for proactive decision making with temporal logic models.
Int. J. Robotics Res., 2019

Towards a Co-Design Framework for Future Mobility Systems.
CoRR, 2019

On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach.
CoRR, 2019

Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization.
Proceedings of the Robotics: Science and Systems XV, 2019

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization.
Proceedings of the Robotics: Science and Systems XV, 2019

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.
Proceedings of the Robotics: Science and Systems XV, 2019

High-Dimensional Optimization in Adaptive Random Subspaces.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Backpropagation for Parametric STL.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Optimal Routing and Energy Management Strategies for Plug-in Hybrid Electric Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Bilevel Optimization for Planning Through Contact: A Semidirect Method.
Proceedings of the Robotics Research, 2019

Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems.
Proceedings of the International Conference on Robotics and Automation, 2019

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming.
Proceedings of the International Conference on Robotics and Automation, 2019

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems.
Proceedings of the 17th European Control Conference, 2019

Reduced Order Model Predictive Control For Setpoint Tracking.
Proceedings of the 17th European Control Conference, 2019

Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality.
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.
Proceedings of the 2019 American Control Conference, 2019

Risk-Sensitive Generative Adversarial Imitation Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Robust and Adaptive Planning under Model Uncertainty.
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.
Int. J. Robotics Res., 2018

Deterministic sampling-based motion planning: Optimality, complexity, and performance.
Int. J. Robotics Res., 2018

Modeling Multimodal Dynamic Spatiotemporal Graphs.
CoRR, 2018

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming.
CoRR, 2018

Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy.
CoRR, 2018

Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms.
Auton. Robots, 2018

The Team Surviving Orienteers problem: routing teams of robots in uncertain environments with survival constraints.
Auton. Robots, 2018

Learning Stabilizable Dynamical Systems via Control Contraction Metrics.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Meta-learning Priors for Efficient Online Bayesian Regression.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Signal Temporal Logic Meets Reachability: Connections and Applications.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies.
Proceedings of the Robotics: Science and Systems XIV, 2018

Stochastic Model Predictive Control for Autonomous Mobility on Demand.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems.
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.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generative Modeling of Multimodal Multi-Human Behavior.
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.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Sampling Distributions for Robot Motion Planning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robust Visual Localization for Hopping Rovers on Small Bodies.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Cellular Network Traffic Scheduling With Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria.
J. Mach. Learn. Res., 2017

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-gravity Planetary Bodies.
J. Field Robotics, 2017

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.
CoRR, 2017

A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms.
CoRR, 2017

Special issue on selected and extended papers from SIMPAR 2016.
Adv. Robotics, 2017

Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning.
Proceedings of the Robotics: Science and Systems XIII, 2017

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models.
Proceedings of the Robotics: Science and Systems XIII, 2017

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Perception-Aware Motion Planning via Multiobjective Search on GPUs.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Stochastic Motion Planning for Hopping Rovers on Small Solar System Bodies.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

The Matroid Team Surviving Orienteers problem: Constrained routing of heterogeneous teams with risky traversal.
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.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Robust online motion planning via contraction theory and convex optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs.
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.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Trajectory Optimization for Dynamic Grasping in Space Using Adhesive Grippers.
Proceedings of the Field and Service Robotics, 2017

The risk-sensitive coverage problem: Multi-robot routing under uncertainty with service level and survival constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Flying Smartphones: When Portable Computing Sprouts Wings.
IEEE Pervasive Comput., 2016

Control of robotic mobility-on-demand systems: A queueing-theoretical perspective.
Int. J. Robotics Res., 2016

Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report).
CoRR, 2016

Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics.
CoRR, 2016

Autonomous Vehicle Routing in Congested Road Networks.
CoRR, 2016

Mixed Strategy for Constrained Stochastic Optimal Control.
CoRR, 2016

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms.
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.
Proceedings of the International Symposium on Experimental Robotics, 2016

Model predictive control of autonomous mobility-on-demand systems.
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.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Free-flyer acquisition of spinning objects with gecko-inspired adhesives.
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.
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.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Autonomous calibration of MEMS disk resonating gyroscope for improved sensor performance.
Proceedings of the 2016 American Control Conference, 2016

2015
Multi-vehicle Routing.
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.
Int. J. Robotics Res., 2015

Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints.
CoRR, 2015

Guest Editorial: Special issue on constrained decision-making in robotics.
Auton. Robots, 2015

Chance-constrained dynamic programming with application to risk-aware robotic space exploration.
Auton. Robots, 2015

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach.
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.
Proceedings of the Robotics Research, 2015

An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Optimal sampling-based motion planning under differential constraints: The driftless case.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Toward a real-time framework for solving the kinodynamic motion planning problem.
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.
Proceedings of the Field and Service Robotics, 2015

A convex optimization approach to smooth trajectories for motion planning with car-like robots.
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.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Models, algorithms, and evaluation for autonomous mobility-on-demand systems.
Proceedings of the American Control Conference, 2015

A queueing network approach to the analysis and control of mobility-on-demand systems.
Proceedings of the American Control Conference, 2015

2014
Rapid multirobot deployment with time constraints.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A machine learning approach for real-time reachability analysis.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A dynamical characterization of internally-actuated microgravity mobility systems.
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.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A framework for time-consistent, risk-averse model predictive control: Theory and algorithms.
Proceedings of the American Control Conference, 2014

Distributed consensus with mixed time/communication bandwidth performance metrics.
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.
IEEE Trans. Autom. Control., 2013

Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version.
CoRR, 2013

Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions.
Proceedings of the Robotics Research, 2013

Internally-actuated rovers for all-access surface mobility: Theory and experimentation.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A uniform-grid discretization algorithm for stochastic optimal control with risk constraints.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Rebalancing the rebalancers: optimally routing vehicles and drivers in mobility-on-demand systems.
Proceedings of the American Control Conference, 2013

Stochastic optimal control with dynamic, time-consistent risk constraints.
Proceedings of the American Control Conference, 2013

Decentralized decision-making on robotic networks with hybrid performance metrics.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Robotic load balancing for mobility-on-demand systems.
Int. J. Robotics Res., 2012

Asymptotically Optimal Algorithms for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems
CoRR, 2012

Models and efficient algorithms for pickup and delivery problems on roadmaps.
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.
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.
Proceedings of the American Control Conference, 2012

2011
Adaptive and Distributed Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment.
IEEE Trans. Autom. Control., 2011

Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks.
IEEE Trans. Autom. Control., 2011

Dynamic Vehicle Routing for Robotic Systems.
Proc. IEEE, 2011

Load Balancing for Mobility-on-Demand Systems.
Proceedings of the Robotics: Science and Systems VII, 2011

An asymptotically optimal algorithm for pickup and delivery problems.
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.
SIAM J. Control. Optim., 2010

Dynamic vehicle routing with stochastic time constraints.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Fundamental performance limits and efficient polices for Transportation-On-Demand systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Sharing the load.
IEEE Robotics Autom. Mag., 2009

A Stochastic and Dynamic Vehicle Routing Problem with Time Windows and Customer Impatience.
Mob. Networks Appl., 2009

Equitable Partitioning Policies for Mobile Robotic Networks
CoRR, 2009

Distributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment
CoRR, 2009

Equitable partitioning policies for robotic networks.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Distributed control of spacecraft formation via cyclic pursuit: Theory and experiments.
Proceedings of the American Control Conference, 2009

Dynamic multi-vehicle routing with multiple classes of demands.
Proceedings of the American Control Conference, 2009

2008
Dynamic vehicle routing with heterogeneous demands.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Distributed policies for equitable partitioning: Theory and applications.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience.
Proceedings of the 1st International Conference on Robot Communication and Coordination, 2007

Decentralized algorithms for stochastic and dynamic vehicle routing with general demand distribution.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Decentralized policies for geometric pattern formation.
Proceedings of the American Control Conference, 2007


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