Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Georg Bartels"'
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
KI - Künstliche Intelligenz. 33:111-116
Publikováno v:
KI - Künstliche Intelligenz. 33:123-130
In the factories and distribution centers of the future, humans and robots shall work together in close proximity and even physically interact. This shift to joint human–robot teams raises the question of how to ensure worker safety. In this manusc
Autor:
Georg Bartels, Michael Beetz
Publikováno v:
KI - Künstliche Intelligenz. 33:189-192
Autor:
Georg Bartels, Michael Beetz
Publikováno v:
KI - Künstliche Intelligenz. 33:193-196
Autor:
Marco Costanzo, Simon Stelter, Alexis Maldonado, Georg Bartels, Salvatore Pirozzi, Michael Beetz, Ciro Natale
Publikováno v:
IEEE Robotics and Automation Letters
Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those needed in
Service robots in the future need to execute abstract instructions such as "fetch the milk from the fridge". To translate such instructions into actionable plans, robots require in-depth background knowledge. With regards to interactions with doors a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25cbdb0b1982a2b4b4f3d158634b7c69
Autor:
Zafar Mirza, Anatole Krattiger, Antony Taubman, Hans Georg Bartels, Peter Beyer, Roger Kampf, Jayashree Watal
Publikováno v:
Bulletin of the World Health Organization, Vol 91, Iss 5, Pp 315-315 (2013)
Externí odkaz:
https://doaj.org/article/44bc8ea27464439d8d009d81cb36cbdf
Advanced cognitive capabilities enable humans to solve even complex tasks by representing and processing internal models of manipulation actions and their effects. Consequently, humans are able to plan the effect of their motions before execution and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e7859e909b83c123d1985e5ee2ae4f
https://doi.org/10.1016/j.robot.2018.11.018
https://doi.org/10.1016/j.robot.2018.11.018
Autor:
Georg Bartels, Andrei Haidu, Asil Kaan Bozcuoglu, Daniel Bessler, Michael Beetz, Mihai Pomarlan
Publikováno v:
ICRA
In this paper we present KnowRob2, a second generation knowledge representation and reasoning framework for robotic agents. KnowRob2 is an extension and partial redesign of KnowRob, currently one of the most advanced knowledge processing systems for