Intention is choice with commitment
Artificial Intelligence
A motivational system for regulating human-robot interaction
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An Agent-Based Architecture for an Adaptive Human-Robot Interface
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5 - Volume 5
A prototype infrastructure for distributed robot-agent-person teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Teaching and Working with Robots as a Collaboration
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Journal of Artificial Intelligence Research
Agent architectures for flexible, practical teamwork
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team
Proceedings of the ACM/IEEE international conference on Human-robot interaction
A Framework For Human-Aware Robot Planning
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
A cognitive approach to enhancing human-robot interaction for service robots
Proceedings of the 2007 conference on Human interface: Part I
Caesar: an intelligent domestic service robot
Intelligent Service Robotics
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Human-robot interaction requires explicit reasoning on the human environment and on the robot capacities to achieve its tasks in a collaborative way with a human partner.This paper focuses on organization of the robot decisional abilities and more particularly on the management of human interaction as an integral part of the robot control architecture. Such an architecture should be the framework that will allow the robot to accomplish its tasks but also produce behaviors that support its engagement vis-a-vis its human partner and interpret similar behaviors from him.Together and in coherence with this framework, we intend to develop and experiment various task planners and interaction schemes, that will allow the robot to select and perform its tasks while taking into account explicitly the constraints imposed by the presence of humans, their needs and preferences.We have considered a scheme where the robot plans for itself and for the human in order not only (1) to assess the feasibility of the task (at a certain level) before performing it, but also (2) to share the load between the robot and the human and (3) to explain/illustrate a possible course of action.