Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Lionel Ott"'
Publikováno v:
IEEE Transactions on Robotics. :1-18
Publikováno v:
IEEE Robotics and Automation Letters. 7:12014-12021
Publikováno v:
The International Journal of Robotics Research. 41:851-874
Accurate localization of a robot in a known environment is a fundamental capability for successfully performing path planning, manipulation, and grasping tasks. Particle filters, also known as Monte Carlo localization (MCL), are a commonly used metho
Publikováno v:
IEEE Robotics and Automation Letters. 7:5421-5428
Estimation of a dynamical system's latent state subject to sensor noise and model inaccuracies remains a critical yet difficult problem in robotics. While Kalman filters provide the optimal solution in the least squared sense for linear and Gaussian
Publikováno v:
IEEE Robotics and Automation Letters. 7:1063-1070
Quantification of uncertainty in point cloud matching is critical in many tasks such as pose estimation, sensor fusion, and grasping. Iterative closest point (ICP) is a commonly used pose estimation algorithm which provides a point estimate of the tr
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783031255540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85eea834d7f189411d21162d077affab
https://doi.org/10.1007/978-3-031-25555-7_1
https://doi.org/10.1007/978-3-031-25555-7_1
Publikováno v:
Robotics and Autonomous Systems, 165
Symbolic planning can provide an intuitive interface for non-expert users to operate autonomous robots by abstracting away much of the low-level programming. However, symbolic planners assume that the initially provided abstract domain and problem de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b171d8abab8087d9b0d4237ab6c794
Picking a specific object from clutter is an essential component of many manipulation tasks. Partial observations often require the robot to collect additional views of the scene before attempting a grasp. This paper proposes a closed-loop next-best-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::638a936afe497ba9b2ca30805b4f83a8
http://arxiv.org/abs/2207.10543
http://arxiv.org/abs/2207.10543
Autor:
Marco Tranzatto, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Mihir Dharmadhikari, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matias Mattamala, Markus Montenegro, Konrad Meyer, Lukas Bernreiter, Xiangyu Wu, Adrien Briod, Mark Mueller, Maurice Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann
Publikováno v:
Web of Science
This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with the vision to facilitate the novel technologies necessary to reliably
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66c702eb37fa951ae6621a93f0b98aba
http://arxiv.org/abs/2207.04914
http://arxiv.org/abs/2207.04914
The recent development of novel aerial vehicles capable of physically interacting with the environment leads to new applications such as contact-based inspection. These tasks require the robotic system to exchange forces with partially-known environm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3c289534d81ef1681e4566c06c60aa
http://arxiv.org/abs/2206.14122
http://arxiv.org/abs/2206.14122