Social Momentum A Framework for Legible Navigation in Dynamic Multi-Agent Environments

Intent-expressive robot motion has been shown to result in increased efficiency and reduced planning efforts for copresent humans. Existing frameworks for generating intent-expressive robot behaviors have typically focused on applications in static or structured environments. Under such settings, em...

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Veröffentlicht in:	2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) S. 361 - 369
Hauptverfasser:	Mavrogiannis, Christoforos I., Thomason, Wil B., Knepper, Ross A.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 26.02.2018
Schriftenreihe:	ACM Conferences
Schlagworte:	Computer systems organization > Embedded and cyber-physical systems > Robotics > Robotic autonomy Computing methodologies > Artificial intelligence > Control methods > Motion path planning Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Cooperation and coordination Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Mobile agents Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Probabilistic reasoning Computing methodologies > Artificial intelligence > Planning and scheduling > Multi-agent planning Computing methodologies > Artificial intelligence > Planning and scheduling > Planning under uncertainty Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning Dynamics Expressive motion Human-centered computing > Human computer interaction (HCI) > HCI theory, concepts and models Mathematics of computing > Continuous mathematics > Topology > Algebraic topology Multi-Agent Systems Navigation Observers Planning Protocols Robot motion Topology Trajectory multi-agent systems navigation expressive motion topology
ISBN:	9781450349536, 1450349536
ISSN:	2167-2148
Online-Zugang:	Volltext
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