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of 6
pro vyhledávání: '"Kenfack, Franklin Kenghagho"'
Autor:
Alt, Benjamin, Kenfack, Franklin Kenghagho, Haidu, Andrei, Katic, Darko, Jäkel, Rainer, Beetz, Michael
Aging societies, labor shortages and increasing wage costs call for assistance robots capable of autonomously performing a wide array of real-world tasks. Such open-ended robotic manipulation requires not only powerful knowledge representations and r
Externí odkaz:
http://arxiv.org/abs/2306.02739
Many of today's robot perception systems aim at accomplishing perception tasks that are too simplistic and too hard. They are too simplistic because they do not require the perception systems to provide all the information needed to accomplish manipu
Externí odkaz:
http://arxiv.org/abs/2011.11397
Autor:
Kazhoyan, Gayane, Stelter, Simon, Kenfack, Franklin Kenghagho, Koralewski, Sebastian, Beetz, Michael
In this paper, we present an experiment, designed to investigate and evaluate the scalability and the robustness aspects of mobile manipulation. The experiment involves performing variations of mobile pick and place actions and opening/closing enviro
Externí odkaz:
http://arxiv.org/abs/2011.09792
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Many of today's robot perception systems aim at accomplishing perception tasks that are too simplistic and too hard. They are too simplistic because they do not require the perception systems to provide all the information needed to accomplish manipu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d07fc8c059cfc1bf884acced5e0531c3
https://doi.org/10.1109/iros51168.2021.9636359
https://doi.org/10.1109/iros51168.2021.9636359
