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Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) conference-paper Computer Science Robotic Path Planning Algorithms Open access
Diego Felipe PAEZ GRANADOS, Yujie He, David J. Gonon, Bastian Leibe, Kenji Suzuki, Aude Gemma Billard
12citations -
Integrating golog++ and ROS for Practical and Portable High-level Control2020 International Conference on Agents and Artificial Intelligence (ICAART) conference-paper Computer Science AI-based Problem Solving and Planning Open access
Maximillian Kirsch, Victor Mataré, Alexander Ferrein, Stefan Schiffer
1citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks — A Reward Curriculum Approach2022 International Journal of Semantic Computing article Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
7citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach2021 IEEE International Conference on Robotic Computing (IRC) conference-paper Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
9citations -
LSTM-based Inverse Dynamics Learning for Franka Emika Robot2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics
Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke
1citations -
Strategy Synthesis for POMDPs in Robot Planning via Game-Based Abstractions2020 IEEE Transactions on Automatic Control article Computer Science Formal Methods in Verification Open access
Leonore Winterer, Sebastian Junges, Ralf Wimmer, Nils Jansen, Ufuk Topcu, Joost-Pieter Katoen, +1 more
13citations -
GoSafe: Globally Optimal Safe Robot Learning2021 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics Open access cited by 1 patent
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
19citations