Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tamas Bates"'
Publikováno v:
Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2020
ICRA
ICRA
This paper presents a method to incorporate ergonomics into the optimization of action sequences for bi-manual human-robot cooperation tasks with continuous physical interaction. Our first contribution is a novel computational model of the human that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a75b15242994684458e822a7e801f8f
https://doi.org/10.1109/icra40945.2020.9197296
https://doi.org/10.1109/icra40945.2020.9197296
Publikováno v:
Proceedings SIGGRAPH Asia 2019 (SA '18): Technical Briefs
Proceedings SIGGRAPH Asia 2019 (SA '18)
SIGGRAPH Asia Technical Briefs
Proceedings SIGGRAPH Asia 2019 (SA '18)
SIGGRAPH Asia Technical Briefs
Virtual avatars have been employed in many contexts, from simple conversational agents to communicating the internal state and intentions of large robots when interacting with humans. Rarely, however, are they employed in scenarios which require non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fa4e4b96eec78e172887a2a4a742ff6
http://resolver.tudelft.nl/uuid:8428cb00-d080-4758-ae3a-e4a1a2e08fa9
http://resolver.tudelft.nl/uuid:8428cb00-d080-4758-ae3a-e4a1a2e08fa9
Publikováno v:
IROS
Capturing realistic human behaviors is essential to learn human models that can later be transferred to robots. Recent improvements in virtual reality (VR) head-mounted displays provide a viable way to collect natural examples of human behavior witho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ece2f29bd628ac461a8a363c301a87d0
https://doi.org/10.1109/iros.2017.8206193
https://doi.org/10.1109/iros.2017.8206193
Autor:
Philipp Seiwald, Daniel Wahrmann, Felix Sygulla, Tamas Bates, Robert Wittmann, Daniel J. Rixen, Arne-Christoph Hildebrandt
Publikováno v:
International Journal of Humanoid Robotics. 16:1950002
In order to achieve real autonomy, robots have to be able to navigate in completely unknown environments. Due to the complexity of computer vision algorithms, almost every approach for robotic navigation is either based on previous knowledge of the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8271fc0fce76c1df966423cc7f5714ea
https://doi.org/10.1142/s0219843619500026
https://doi.org/10.1142/s0219843619500026