Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Scheunemann, Marcus"'
This workshop aimed for a deeper exploration of trust and acceptance in human-robot interaction (HRI) from a multidisciplinary perspective including robots' capabilities of sensing and perceiving other agents, the environment, and human-robot dynamic
Externí odkaz:
http://arxiv.org/abs/2108.08092
A solid methodology to understand human perception and preferences in human-robot interaction (HRI) is crucial in designing real-world HRI. Social cognition posits that the dimensions Warmth and Competence are central and universal dimensions charact
Externí odkaz:
http://arxiv.org/abs/2008.05799
A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imbue the robot with intrinsic motivation (IM) so that it can handle new
Externí odkaz:
http://arxiv.org/abs/2002.05936
There has always been much motivation for sharing code and solutions among teams in the RoboCup community. Yet the transfer of code between teams was usually complicated due to a huge variety of used frameworks and their differences in processing sen
Externí odkaz:
http://arxiv.org/abs/1907.00282
In this paper we present a fully autonomous and intrinsically motivated robot usable for HRI experiments. We argue that an intrinsically motivated approach based on the Predictive Information formalism, like the one presented here, could provide us w
Externí odkaz:
http://arxiv.org/abs/1905.01734
Autor:
Scheunemann, Marcus M., van Dijk, Sander G., Miko, Rebecca, Barry, Daniel, Evans, George M., Rossi, Alessandra, Polani, Daniel
We participated in the RoboCup 2018 competition in Montreal with our newly developed BoldBot based on the Darwin-OP and mostly self-printed custom parts. This paper is about the lessons learnt from that competition and further developments for the Ro
Externí odkaz:
http://arxiv.org/abs/1904.10066
Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, a robot needs to recognize touch gestures and/or the proximity to interacting individuals. Moreover, a robot intera
Externí odkaz:
http://arxiv.org/abs/1904.03475
Deep learning has revolutionised many fields, but it is still challenging to transfer its success to small mobile robots with minimal hardware. Specifically, some work has been done to this effect in the RoboCup humanoid football domain, but results
Externí odkaz:
http://arxiv.org/abs/1807.05597
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