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Titel:

A Game-Theoretic Approach for Adaptive Action Selection in Close Distance Human-Robot-Collaboration

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Gabler, Volker; Stahl, Tim; Huber, Gerold; Ögüz, Özgür S.; Wollherr, Dirk
Abstract:
With the integration of Human-Robot Collabo- ration (HRC) in industrial assembly scenarios, robot systems face numerous challenges. In contrast to classic robot systems which follow a pre-programmed and fixed sequence of actions, an interaction scenario with humans in the loop requires mutual adaptation. In this paper a framework based on game theory is presented that allows robots to choose appropriate actions with respect to the action of human coworkers when collaborating in close proximity....     »
Stichworte:
Autonomous Agents,Cognitive Human-Robot Interaction,Planning,Scheduling and Coordination
Kongress- / Buchtitel:
2017 IEEE International Conference on Robotics and Automation (ICRA) Singapore, May 29 - June 3, 2017
Ausrichter der Konferenz:
IEEE
Datum der Konferenz:
May 29 - June 3, 2017
Verlag / Institution:
IEEE
Jahr:
2017
Seiten:
2897--2903
Print-ISBN:
9781509046324
Sprache:
en
Semester:
SS 17
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