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pro vyhledávání: '"van Steen, Jari"'
With the goal of increasing the speed and efficiency in robotic manipulation, a control approach is presented that aims to utilize intentional simultaneous impacts to its advantage. This approach exploits the concept of the time-invariant reference s
Externí odkaz:
http://arxiv.org/abs/2411.09870
Impact-aware robotic manipulation benefits from an accurate map from ante-impact to post-impact velocity signals to support, e.g., motion planning and control. This work proposes an approach to generate and experimentally validate such impact maps fr
Externí odkaz:
http://arxiv.org/abs/2411.06319
With the aim of further enabling the exploitation of intentional impacts in robotic manipulation, a control framework is presented that directly tackles the challenges posed by tracking control of robotic manipulators that are tasked to perform nomin
Externí odkaz:
http://arxiv.org/abs/2305.08643
With the goal of increasing the speed and efficiency in robotic dual arm manipulation, a novel control approach is presented that utilizes intentional simultaneous impacts to rapidly grasp objects. This approach uses the time-invariant reference spre
Externí odkaz:
http://arxiv.org/abs/2212.00877
With the goal of enabling the exploitation of impacts in robotic manipulation, a new framework is presented for control of robotic manipulators that are tasked to execute nominally simultaneous impacts. In this framework, we employ tracking of time-i
Externí odkaz:
http://arxiv.org/abs/2206.04852
With the aim of further enabling the exploitation of impacts in robotic manipulation, a control framework is presented that directly tackles the challenges posed by tracking control of robotic manipulators that are tasked to perform nominally simulta
Externí odkaz:
http://arxiv.org/abs/2111.05211
Publikováno v:
In IFAC PapersOnLine 2023 56(2):1009-1016
Akademický článek
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Publikováno v:
2022 American Control Conference (ACC)
With the aim of further enabling the exploitation of impacts in robotic manipulation, a control framework is presented that directly tackles the challenges posed by tracking control of robotic manipulators that are tasked to perform nominally simulta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06e5d854eeaed07eaa8c681eae048a42
https://doi.org/10.23919/acc53348.2022.9867812
https://doi.org/10.23919/acc53348.2022.9867812