Angela P. Schoellig
Orcid: 0000-0003-4012-4668Affiliations:
- TU Munich, Germany
- University of Toronto, Canada
- ETH Zurich, Switzerland (former)
According to our database1,
Angela P. Schoellig
authored at least 158 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., August, 2024
IEEE Robotics Autom. Lett., February, 2024
Range-Visual-Inertial Sensor Fusion for Micro Aerial Vehicle Localization and Navigation.
IEEE Robotics Autom. Lett., January, 2024
IEEE Robotics Autom. Lett., 2024
Int. J. Robotics Res., 2024
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems.
IEEE Control. Syst. Lett., 2024
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards.
CoRR, 2024
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents.
CoRR, 2024
Latent Action Priors From a Single Gait Cycle Demonstration for Online Imitation Learning.
CoRR, 2024
Preventing Unconstrained CBF Safety Filters Caused by Invalid Relative Degree Assumptions.
CoRR, 2024
Time-Optimal Planning for Long-Range Quadrotor Flights: An Automatic Optimal Synthesis Approach.
CoRR, 2024
CoRR, 2024
Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior.
CoRR, 2024
Control-Barrier-Aided Teleoperation with Visual-Inertial SLAM for Safe MAV Navigation in Complex Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Is Data All That Matters? the Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems.
Proceedings of the American Control Conference, 2024
Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters.
Proceedings of the American Control Conference, 2024
2023
Keep It Upright: Model Predictive Control for Nonprehensile Object Transportation With Obstacle Avoidance on a Mobile Manipulator.
IEEE Robotics Autom. Lett., December, 2023
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics.
Mach. Learn., October, 2023
Perception-Aware Tag Placement Planning for Robust Localization of UAVs in Indoor Construction Environments.
J. Comput. Civ. Eng., March, 2023
Int. J. Robotics Res., January, 2023
Differentially Flat Learning-Based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter.
IEEE Control. Syst. Lett., 2023
Safe Multi-Agent Reinforcement Learning for Formation Control without Individual Reference Targets.
CoRR, 2023
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design.
CoRR, 2023
SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization.
CoRR, 2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges.
CoRR, 2023
What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities.
CoRR, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Uncertainty-Aware Gaussian Mixture Model for UWB Time Difference of Arrival Localization in Cluttered Environments.
IROS, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the 20th Conference on Robots and Vision, 2023
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Robotics Autom. Lett., 2022
Finding the Right Place: Sensor Placement for UWB Time Difference of Arrival Localization in Cluttered Indoor Environments.
IEEE Robotics Autom. Lett., 2022
Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics.
IEEE Robotics Autom. Lett., 2022
Min-Max Vertex Cycle Covers With Connectivity Constraints for Multi-Robot Patrolling.
IEEE Robotics Autom. Lett., 2022
Fly Out the Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection.
CoRR, 2022
Stochastic Modeling of Tag Installation Error for Robust On-Manifold Tag-Based Visual-Inertial Localization.
CoRR, 2022
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning.
Annu. Rev. Control. Robotics Auton. Syst., 2022
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Gaussian Variational Inference with Covariance Constraints Applied to Range-only Localization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
Proceedings of the American Control Conference, 2022
2021
Learning-Based Bias Correction for Time Difference of Arrival Ultra-Wideband Localization of Resource-Constrained Mobile Robots.
IEEE Robotics Autom. Lett., 2021
Meta Learning With Paired Forward and Inverse Models for Efficient Receding Horizon Control.
IEEE Robotics Autom. Lett., 2021
Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?
IEEE Robotics Autom. Lett., 2021
Zeus: A system description of the two-time winner of the collegiate SAE autodrive competition.
J. Field Robotics, 2021
To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer.
IEEE Control. Syst. Lett., 2021
Exploiting Differential Flatness for Robust Learning-Based Tracking Control Using Gaussian Processes.
IEEE Control. Syst. Lett., 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning.
CoRR, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization.
Proceedings of the 18th Conference on Robots and Vision, 2021
Mobile Manipulation in Unknown Environments with Differential Inverse Kinematics Control.
Proceedings of the 18th Conference on Robots and Vision, 2021
Learning a Stability Filter for Uncertain Differentially Flat Systems using Gaussian Processes.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors.
Robotics Auton. Syst., 2020
Variational Inference With Parameter Learning Applied to Vehicle Trajectory Estimation.
IEEE Robotics Autom. Lett., 2020
IEEE Robotics Autom. Lett., 2020
Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning.
IEEE Robotics Autom. Lett., 2020
Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking.
Int. J. Robotics Res., 2020
Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation?
CoRR, 2020
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors.
CoRR, 2020
Learning-based Bias Correction for Ultra-wideband Localization of Resource-constrained Mobile Robots.
CoRR, 2020
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Visual Localization with Google Earth Images for Robust Global Pose Estimation of UAVs.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
IEEE Trans. Robotics, 2019
There's No Place Like Home: Visual Teach and Repeat for Emergency Return of Multirotor UAVs During GPS Failure.
IEEE Robotics Autom. Lett., 2019
Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems With Unknown and Changing Dynamics Performing Repetitive Tasks.
IEEE Robotics Autom. Lett., 2019
Trajectory Generation for Multiagent Point-To-Point Transitions via Distributed Model Predictive Control.
IEEE Robotics Autom. Lett., 2019
Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems.
IEEE Robotics Autom. Lett., 2019
J. Mach. Learn. Res., 2019
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants.
CoRR, 2019
Distributed iterative learning control for multi-agent systems - Theoretic developments and application to formation flying.
Auton. Robots, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Trajectory Tracking for Quadrotors with Attitude Control on S<sup>2</sup>×S<sup>1</sup>.
Proceedings of the 17th European Control Conference, 2019
Point Me In The Right Direction: Improving Visual Localization on UAVs with Active Gimballed Camera Pointing.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019
Active Training Trajectory Generation for Inverse Dynamics Model Learning with Deep Neural Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
SIAM J. Control. Optim., 2018
An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase Dynamics.
IEEE Robotics Autom. Lett., 2018
IEEE Robotics Autom. Lett., 2018
Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems with Unknown, Changing Dynamics Performing Repetitive Tasks.
CoRR, 2018
Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles.
CoRR, 2018
Transfer Learning for High-Precision Trajectory Tracking Through L<sub>1</sub> Adaptive Feedback and Iterative Learning.
CoRR, 2018
Experience Recommendation for Long Term Safe Learning-based Model Predictive Control in Changing Operating Conditions.
CoRR, 2018
On the construction of safe controllable regions for affine systems with applications to robotics.
Autom., 2018
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018
Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Conditions.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Experience-Based Model Selection to Enable Long-Term, Safe Control for Repetitive Tasks Under Changing Conditions.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Level-Headed: Evaluating Gimbal-Stabilised Visual Teach and Repeat for Improved Localisation Performance.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
CoRR, 2017
CoRR, 2017
High-Precision Trajectory Tracking in Changing Environments Through $\mathcal{L}_1$ Adaptive Feedback and Iterative Learning.
CoRR, 2017
Point-Cloud-Based Aerial Fragmentation Analysis for Application in the Minerals Industry.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
High-precision trajectory tracking in changing environments through L1 adaptive feedback and iterative learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Learning multimodal models for robot dynamics online with a mixture of Gaussian process experts.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the Field and Service Robotics, 2017
Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Learning-based Nonlinear Model Predictive Control to Improve Vision-based Mobile Robot Path Tracking.
J. Field Robotics, 2016
Int. J. Robotics Res., 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 AAAI Spring Symposia, 2016
2015
An upper bound on the error of alignment-based Transfer Learning between two linear, time-invariant, scalar systems.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Conservative to confident: Treating uncertainty robustly within Learning-Based Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the 14th European Control Conference, 2015
2014
Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
A Proof-of-Concept Demonstration of Visual Teach and Repeat on a Quadrocopter Using an Altitude Sensor and a Monocular Camera.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014
Design of norm-optimal iterative learning controllers: The effect of an iteration-domain Kalman filter for disturbance estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Dance of the Flying Machines: Methods for Designing and Executing an Aerial Dance Choreography.
IEEE Robotics Autom. Mag., 2013
Visual teach and repeat, repeat, repeat: Iterative Learning Control to improve mobile robot path tracking in challenging outdoor environments.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
2012
Auton. Robots, 2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Proceedings of the American Control Conference, 2012
2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the American Control Conference, 2011
2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Proceedings of the 10th European Control Conference, 2009
2007
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007