Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Dieter Fox"'
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0141965 (2015)
A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that
Externí odkaz:
https://doaj.org/article/c5953cde5b01475eba4b19d92fd9e9da
Autor:
Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff
Publikováno v:
IEEE Robotics and Automation Letters. 7:3202-3209
Classical mechanical systems are central to controller design in energy shaping methods of geometric control. However, their expressivity is limited by position-only metrics and the intimate link between metric and geometry. Recent work on Riemannian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5dd3b4ec32a0b9693ef5ce52a68c59
https://doi.org/10.1109/lra.2022.3143311
https://doi.org/10.1109/lra.2022.3143311
Publikováno v:
IEEE Robotics and Automation Letters. 7:2883-2890
6D grasping in cluttered scenes is a longstanding problem in robotic manipulation. Open-loop manipulation pipelines may fail due to inaccurate state estimation, while most end-to-end grasping methods have not yet scaled to complex scenes with obstacl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1772cb8fa9b2c9bf1bd8a0ecf4517b3
https://doi.org/10.1109/lra.2022.3143198
https://doi.org/10.1109/lra.2022.3143198
Publikováno v:
The International Journal of Robotics Research. 40:1467-1487
In the human hand, high-density contact information provided by afferent neurons is essential for many human grasping and manipulation capabilities. In contrast, robotic tactile sensors, including the state-of-the-art SynTouch BioTac, are typically u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac31f889e7841878c43876093c5d38e4
https://doi.org/10.1177/02783649211047634
https://doi.org/10.1177/02783649211047634
Publikováno v:
IEEE Transactions on Robotics. 37:1343-1359
In order to function in unstructured environments, robots need the ability to recognize unseen objects. We take a step in this direction by tackling the problem of segmenting unseen object instances in tabletop environments. However, the type of larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d95c6a69fab1b60009371f4bae6158d8
https://doi.org/10.1109/tro.2021.3060341
https://doi.org/10.1109/tro.2021.3060341
Publikováno v:
IEEE Transactions on Robotics. 37:1328-1342
Tracking 6-D poses of objects from videos provides rich information to a robot in performing different tasks such as manipulation and navigation. In this article, we formulate the 6-D object pose tracking problem in the Rao–Blackwellized particle f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7196ce5445241aea4f12d7ed3a5d7372
https://doi.org/10.1109/tro.2021.3056043
https://doi.org/10.1109/tro.2021.3056043
Autor:
Nathan Ratliff, Byron Boots, Stan Birchfield, Jan Issac, Dieter Fox, Mustafa Mukadam, Ching-An Cheng
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 18:968-987
Generating robot motion for multiple tasks in dynamic environments is challenging, requiring an algorithm to respond reactively while accounting for complex nonlinear relationships between tasks. In this article, we develop a novel policy synthesis a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa3b2649f8470f977ea8a37d4d1601ba
https://doi.org/10.1109/tase.2021.3053422
https://doi.org/10.1109/tase.2021.3053422
Publikováno v:
IEEE Robotics and Automation Letters. 6:3128-3135
Learning high-level navigation behaviors has important implications: it enables robots to build compact visual memory for repeating demonstrations and to build sparse topological maps for planning in novel environments. Existing approaches only learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b60d49f90466580419c8f347a5f61a63
https://doi.org/10.1109/lra.2021.3060649
https://doi.org/10.1109/lra.2021.3060649
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
Publikováno v:
Tucker Hermans
Geometric organization of objects into semantically meaningful arrangements pervades the built world. As such, assistive robots operating in warehouses, offices, and homes would greatly benefit from the ability to recognize and rearrange objects into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc3b3698e80535954fe09d3327ec346b
https://doi.org/10.1109/icra46639.2022.9811931
https://doi.org/10.1109/icra46639.2022.9811931
Autor:
Wolfram Burgard, Armin B. Cremers, Dieter Fox, Martin Heidelbach, Angelica M. Kappel, Stefan Lüttringhaus-Kappel
Publikováno v:
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems ISBN: 9780429332111
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eec03113b9b0b25080eea165fb6101de
https://doi.org/10.1201/9780429332111-86
https://doi.org/10.1201/9780429332111-86
