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pro vyhledávání: '"Franklin Kenghagho Kenfack"'
Publikováno v:
IROS
Visual robot perception has been challenging to successful robot manipulation in noisy, cluttered and dynamic environments. While some perception systems fail to provide an adequate semantics of the scene, others fail to present appropriate learning
Autor:
Franklin Kenghagho Kenfack, Simon Stelter, Michael Beetz, Gayane Kazhoyan, Sebastian Koralewski
Publikováno v:
ICRA
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::161d5714fc231cfa7c84ffa508af04bb