Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Tim Welschehold"'
Publikováno v:
IEEE Robotics and Automation Letters
Accurate value estimates are important for off-policy reinforcement learning. Algorithms based on temporal difference learning typically are prone to an over- or underestimation bias building up over time. In this paper, we propose a general method c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01b38ac3872c470a63e238f49e67ff6d
https://doi.org/10.1109/lra.2022.3229236
https://doi.org/10.1109/lra.2022.3229236
Publikováno v:
IEEE Robotics and Automation Letters. 7:191-198
The transition from today's mostly human-driven traffic to a purely automated one will be a gradual evolution, with the effect that we will likely experience mixed traffic in the near future. Connected and automated vehicles can benefit human-driven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bd00aa6bb9cb2cf0c4cb0730c090c71
https://doi.org/10.1109/lra.2021.3121807
https://doi.org/10.1109/lra.2021.3121807
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783031255540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::801a5c017b2d19c3b02d71dd22be51ef
https://doi.org/10.1007/978-3-031-25555-7_5
https://doi.org/10.1007/978-3-031-25555-7_5
Learning to solve complex manipulation tasks from visual observations is a dominant challenge for real-world robot learning. Although deep reinforcement learning algorithms have recently demonstrated impressive results in this context, they still req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6a7a7e48e45b5501ed75135a3edb489
http://arxiv.org/abs/2110.03316
http://arxiv.org/abs/2110.03316
Publikováno v:
IEEE Robotics and Automation Letters
Mobile manipulation tasks remain one of the critical challenges for the widespread adoption of autonomous robots in both service and industrial scenarios. While planning approaches are good at generating feasible whole-body robot trajectories, they s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d67dbc63452b8cb34f74d2c98ee9a3f6
Autor:
Iman Nematollahi, Erick Rosete-Beas, Adrian Rpfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard
A core challenge for an autonomous agent acting in the real world is to adapt its repertoire of skills to cope with its noisy perception and dynamics. To scale learning of skills to long-horizon tasks, robots should be able to learn and later refine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16cb1e7385e70ace9412a507aa4f5d45
Publikováno v:
IROS
Learning from demonstrations is a promising paradigm for transferring knowledge to robots. However, learning mobile manipulation tasks directly from a human teacher is a complex problem as it requires learning models of both the overall task goal and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e51a3472ad920f0034aacbd82518232b
http://arxiv.org/abs/1908.10184
http://arxiv.org/abs/1908.10184
Publikováno v:
ICRA
Learning from demonstration is a powerful tool for teaching manipulation actions to a robot. It is, however, an unsolved problem how to consider knowledge about the world and action-induced reactions such as forces imposed onto the gripper or measure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d4c42ff8fbd8b62b60e5b912017854
https://doi.org/10.1109/icra.2019.8794153
https://doi.org/10.1109/icra.2019.8794153
Autor:
Matthias Demant, Sebastian Bartsch, Tim Welschehold, Stephan Schoenfelder, Thomas Brox, Marcus Oswald, Stefan Rein
Publikováno v:
IEEE Journal of Photovoltaics. 6:126-135
Microcracks in silicon wafers reduce the strength of the wafers and can lead to critical failure within the solar-cell production. Both detection of the microcracks and their impact on fracture strength of the wafers are addressed within this study.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11c432b7ab848e0b2f1aa5aeda1f69ca
https://doi.org/10.1109/jphotov.2015.2494692
https://doi.org/10.1109/jphotov.2015.2494692
Publikováno v:
IROS
Dynamic systems are a practical alternative to motion planning in executing robot actions. They are of particular interest in Learning from Demonstration, as here we aim to carry out actions in a certain fashion, without a model or in-depth knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df5fbea19d1ad1ae0376978fddcb936
https://doi.org/10.1109/iros.2018.8593534
https://doi.org/10.1109/iros.2018.8593534