Seuraa
Angela Schoellig
Angela Schoellig
Muut nimetAngela Schöllig, Angela P. Schoellig, Angela Schollig
Professor of Robotics, Technical University of Munich and University of Toronto
Vahvistettu sähköpostiosoite verkkotunnuksessa tum.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Safe model-based reinforcement learning with stability guarantees
F Berkenkamp, M Turchetta, A Schoellig, A Krause
Advances in Neural Information Processing Systems, 908-918, 2017
9272017
A simple learning strategy for high-speed quadrocopter multi-flips
S Lupashin, A Schöllig, M Sherback, R D'Andrea
Robotics and Automation (ICRA), 2010 IEEE International Conference on, 1642-1648, 2010
4532010
Safe learning in robotics: From learning-based control to safe reinforcement learning
L Brunke, M Greeff, AW Hall, Z Yuan, S Zhou, J Panerati, AP Schoellig
Annual Review of Control, Robotics, and Autonomous Systems 5, 2021
4292021
Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach
F Augugliaro, AP Schoellig, R D'Andrea
2012 IEEE/RSJ international conference on Intelligent Robots and Systems …, 2012
3642012
Learning-Based Nonlinear Model Predictive Control to Improve Vision-Based Mobile Robot Path-Tracking in Challenging Outdoor Environments
CJ Ostafew, AP Schoellig, TD Barfoot
IEEE International Conference on Robotics and Automation (ICRA), 4029–4036, 2014
332*2014
Safe controller optimization for quadrotors with Gaussian processes
F Berkenkamp, AP Schoellig, A Krause
2016 IEEE International Conference on Robotics and Automation (ICRA), 491-496, 2016
3272016
A platform for aerial robotics research and demonstration: The Flying Machine Arena
S Lupashin, M Hehn, MW Mueller, AP Schoellig, M Sherback, R D’Andrea
Mechatronics 24 (1), 41-54, 2014
2852014
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics
F Berkenkamp, A Krause, AP Schoellig
Machine Learning, 1-35, 2021
2642021
Optimizing a drone network to deliver automated external defibrillators.
JJ Boutilier, SC Brooks, A Janmohamed, A Byers, JE Buick, C Zhan, ...
Circulation 135 (25), 2454-2465, 2017
2572017
Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking
CJ Ostafew, AP Schoellig, TD Barfoot
The International Journal of Robotics Research 35 (13), 1547-1563, 2016
2542016
Safe learning of regions of attraction for uncertain, nonlinear systems with gaussian processes
F Berkenkamp, R Moriconi, AP Schoellig, A Krause
2016 IEEE 55th Conference on Decision and Control (CDC), 4661-4666, 2016
2212016
Learning‐based Nonlinear Model Predictive Control to Improve Vision‐based Mobile Robot Path Tracking
CJ Ostafew, AP Schoellig, TD Barfoot, J Collier
Journal of Field Robotics 33 (1), 133-152, 2016
1952016
Safe and robust learning control with Gaussian processes
F Berkenkamp, AP Schoellig
Proc. of the European Control Conference (ECC), 2015
1892015
Optimization-based iterative learning for precise quadrocopter trajectory tracking
AP Schoellig, FL Mueller, R D’Andrea
Autonomous Robots 33 (1-2), 103-127, 2012
1852012
Online trajectory generation with distributed model predictive control for multi-robot motion planning
CE Luis, M Vukosavljev, AP Schoellig
IEEE Robotics and Automation Letters 5 (2), 604-611, 2020
1762020
Application-driven design of aerial communication networks
T Andre, KA Hummel, AP Schoellig, E Yanmaz, M Asadpour, C Bettstetter, ...
IEEE Communications Magazine 52 (5), 129-137, 2014
1742014
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with bayesian optimization
A Marco, F Berkenkamp, P Hennig, AP Schoellig, A Krause, S Schaal, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 1557-1563, 2017
1532017
Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control
J Panerati, H Zheng, SQ Zhou, J Xu, A Prorok, AP Schoellig
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
1192021
Trajectory Generation for Multiagent Point-To-Point Transitions via Distributed Model Predictive Control
CE Luis, AP Schoellig
IEEE Robotics and Automation Letters 4 (2), 375-382, 2019
1122019
Deep neural networks for improved, impromptu trajectory tracking of quadrotors
Q Li, J Qian, Z Zhu, X Bao, MK Helwa, AP Schoellig
Robotics and Automation (ICRA), 2017 IEEE International Conference on, 5183-5189, 2017
1052017
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Artikkelit 1–20