Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Wallkotter, Sebastian"'
Publikováno v:
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
We present SLOT-V, a novel supervised learning framework that learns observer models (human preferences) from robot motion trajectories in a legibility context. Legibility measures how easily a (human) observer can infer the robot's goal from a robot
Externí odkaz:
http://arxiv.org/abs/2210.01412
Robots that share an environment with humans may communicate their intent using a variety of different channels. Movement is one of these channels and, particularly in manipulation tasks, intent communication via movement is called legibility. It alt
Externí odkaz:
http://arxiv.org/abs/2201.05765
The use of robots in educational settings is growing increasingly popular. Yet, many of the learning tasks involving social robots do not take full advantage of their physical embodiment. MobiAxis is a proposed learning task which uses the physical c
Externí odkaz:
http://arxiv.org/abs/2004.07806
Mind perception in robots has been an understudied construct in human-robot interaction (HRI) compared to similar concepts such as anthropomorphism and the intentional stance. In a series of three experiments, we identify two factors that could poten
Externí odkaz:
http://arxiv.org/abs/2004.07594
The issue of how to make embodied agents explainable has experienced a surge of interest over the last three years, and, there are many terms that refer to this concept, e.g., transparency or legibility. One reason for this high variance in terminolo
Externí odkaz:
http://arxiv.org/abs/2003.05251
Publikováno v:
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
We present SLOT-V, a novel supervised learning framework that learns observer models (human preferences) from robot motion trajectories in a legibility context. Legibility measures how easily a (human) observer can infer the robot's goal from a robot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06b511a5bcff077c4b45bc09eda05e35