Darpa subterranean challenge: Multi-robotic exploration of underground environments T Rouček, M Pecka, P Čížek, T Petříček, J Bayer, V Šalanský, D Heřt, ... Modelling and Simulation for Autonomous Systems: 6th International …, 2020 | 151 | 2020 |
Safe exploration techniques for reinforcement learning–an overview M Pecka, T Svoboda Modelling and Simulation for Autonomous Systems: First International …, 2014 | 122 | 2014 |
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge T Rouček, M Pecka, P Čížek, T Petříček, J Bayer, V Šalanský, T Azayev, ... Field Robotics 2, 1779–1818, 2022 | 46 | 2022 |
Fast simulation of vehicles with non-deformable tracks M Pecka, K Zimmermann, T Svoboda 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 38 | 2017 |
Autonomous flipper control with safety constraints M Pecka, V Šalanský, K Zimmermann, T Svoboda 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 30 | 2016 |
Controlling robot morphology from incomplete measurements M Pecka, K Zimmermann, M Reinstein, T Svoboda IEEE Transactions on Industrial Electronics 64 (2), 1773-1782, 2016 | 28 | 2016 |
UAVs beneath the surface: Cooperative autonomy for subterranean search and rescue in DARPA SubT M Petrlik, P Petracek, V Kratky, T Musil, Y Stasinchuk, M Vrba, T Baca, ... arXiv preprint arXiv:2206.08185, 2022 | 27 | 2022 |
Safe Exploration for Reinforcement Learning in Real Unstructured Environments M Pecka, K Zimmermann, T Svoboda 20th Computer Vision Winter Workshop, 85-94, 2015 | 9 | 2015 |
Data-driven policy transfer with imprecise perception simulation M Pecka, K Zimmermann, M Petrlík, T Svoboda IEEE Robotics and Automation Letters 3 (4), 3916-3921, 2018 | 8 | 2018 |
An ad-hoc planner for the mars express mission M Kolombo, M Pecka, R Barták Proceedings of the 5th International Workshop on Planning and Scheduling for …, 2013 | 4 | 2013 |
MonoForce: Self-supervised learning of physics-aware grey-box model for predicting the robot-terrain interaction R Agishev, K Zimmermann, M Pecka, T Svoboda arXiv preprint arXiv:2309.09007, 2023 | 2 | 2023 |
Safe Autonomous Reinforcement Learning M Pecka PQDT-Global, 2020 | 2* | 2020 |
End-to-end Differentiable Model of Robot-terrain Interactions R Agishev, T Tichý, V Kubelka, M Pecka, P Vacek, T Svoboda, ... | | |
DR 4.4: Implementing persistence in collaborative planning L Freda, F Pirri, T Svoboda, M Pecka, A Gawel | | |