# Angela P. Schoellig

According to our database1, Angela P. Schoellig authored at least 86 papers between 2007 and 2020.

Collaborative distances:
• Dijkstra number2 of four.
• Erdős number3 of four.

Book
In proceedings
Article
PhD thesis
Other

## Bibliography

2020
Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors.
Robotics Auton. Syst., 2020

A Data-Driven Motion Prior for Continuous-Time Trajectory Estimation on SE(3).
IEEE Robotics Autom. Lett., 2020

Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning.
IEEE Robotics Autom. Lett., 2020

To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer.
CoRR, 2020

Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition.
CoRR, 2020

Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots.
CoRR, 2020

Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation.
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.
CoRR, 2020

2019
A Modular Framework for Motion Planning Using Safe-by-Design Motion Primitives.
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

No-Regret Bayesian Optimization with Unknown Hyperparameters.
J. Mach. Learn. Res., 2019

An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants.
CoRR, 2019

Hierarchically Consistent Motion Primitives for Quadrotor Coordination.
CoRR, 2019

Distributed iterative learning control for multi-agent systems - Theoretic developments and application to formation flying.
Auton. Robots, 2019

Fast and In Sync: Periodic Swarm Patterns for Quadrotors.
Proceedings of the International Conference on Robotics and Automation, 2019

Building a Winning Self-Driving Car in Six Months.
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 18th European Control Conference, 2019

Learning Probabilistic Models for Safe Predictive Control in Unknown Environments.
Proceedings of the 18th European Control Conference, 2019

Trajectory Tracking for Quadrotors with Attitude Control on S2×S1.
Proceedings of the 18th 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
The Regular Indefinite Linear Quadratic Optimal Control Problem: Stabilizable Case.
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

Data-Efficient Multirobot, Multitask Transfer Learning for Trajectory Tracking.
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 L1 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

Hybrid Model Predictive Control for Crosswind Stabilization of Hybrid Airships.
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

Flatness-Based Model Predictive Control for Quadrotor Trajectory Tracking.
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
Model Predictive Path-Following for Constrained Differentially Flat Systems.
CoRR, 2017

Learning of Coordination Policies for Robotic Swarms.
CoRR, 2017

Efficient Multi-Task and Multi-Robot Transfer with Continued Learning.
CoRR, 2017

Aerial Rock Fragmentation Analysis in Low-Light Condition Using UAV Technology.
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

Safe Model-based Reinforcement Learning with Stability Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A framework for multi-vehicle navigation using feedback-based motion primitives.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Multi-robot transfer learning: A dynamical system perspective.
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

Deep neural networks for improved, impromptu trajectory tracking of quadrotors.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Towards Visual Teach and Repeat for GPS-Denied Flight of a Fixed-Wing UAV.
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

Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking.
I. J. Robotics Res., 2016

Unscented External Force Estimation for Quadrotors and Experiments.
CoRR, 2016

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics.
CoRR, 2016

A real-time analysis of rock fragmentation using UAV technology.
CoRR, 2016

Unscented external force and torque estimation for quadrotors.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Safe and robust robot maneuvers based on reach control.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Safe controller optimization for quadrotors with Gaussian processes.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Distributed iterative learning control for a team of quadrotors.
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

A Preliminary Study of Transfer Learning between Unicycle Robots.
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

Safe and robust learning control with Gaussian processes.
Proceedings of the European Control Conference, 2015

2014
Application-driven design of aerial communication networks.
IEEE Communications Magazine, 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

Speed Daemon: Experience-Based Mobile Robot Speed Scheduling.
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
Optimization-based iterative learning for precise quadrocopter trajectory tracking.
Auton. Robots, 2012

Iterative learning of feed-forward corrections for high-performance tracking.
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

Feed-forward parameter identification for precise periodic quadrocopter motions.
Proceedings of the American Control Conference, 2012

2011
The Flying Machine Arena as of 2010.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Synchronizing the motion of a quadrocopter to music.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A simple learning strategy for high-speed quadrocopter multi-flips.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Independent vs. joint estimation in multi-agent iterative learning control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Optimization-based iterative learning control for trajectory tracking.
Proceedings of the European Control Conference, 2009

2007
A Hybrid Bellman Equation for Bimodal Systems.
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

A Hybrid Bellman Equation for systems with regional dynamics.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007