Collaborative plans for complex group action
Artificial Intelligence
Using temporal logics to express search control knowledge for planning
Artificial Intelligence
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Interactive humanoid robots for a science museum
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
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
Tracking human motion and actions for interactive robots
Proceedings of the ACM/IEEE international conference on Human-robot interaction
A semi-autonomous communication robot: a field trial at a train station
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
The snackbot: documenting the design of a robot for long-term human-robot interaction
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
An affective guide robot in a shopping mall
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Planning for human-robot interaction using time-state aggregated POMDPs
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
The first probabilistic track of the international planning competition
Journal of Artificial Intelligence Research
Planning with durative actions in stochastic domains
Journal of Artificial Intelligence Research
Conditional progressive planning under uncertainty
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Cost-Based Anticipatory Action Selection for Human–Robot Fluency
IEEE Transactions on Robotics
Multihierarchical Interactive Task Planning: Application to Mobile Robotics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Conceptual Imitation Learning in a Human-Robot Interaction Paradigm
ACM Transactions on Intelligent Systems and Technology (TIST)
Human-aware planning for robots embedded in ambient ecologies
Pervasive and Mobile Computing
A constraint-based approach for proactive, context-aware human support
Journal of Ambient Intelligence and Smart Environments
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Consider a house cleaning robot planning its activities for the day. Assume that the robot expects the human inhabitant to first dress, then have breakfast, and finally go out. Then, it should plan not to clean the bedroom while the human is dressing, and to clean the kitchen after the human has had breakfast. In general, robots operating in inhabited environments, like households and future factory floors, should plan their behavior taking into account the actions that will be performed by the humans sharing the same environment. This would improve human-robot cohabitation, for example, by avoiding undesired situations for the human. Unfortunately, current task planners only consider the robot's actions and unexpected external events in the planning process, and cannot accommodate expectations about the actions of the humans. In this article, we present a human-aware planner able to address this problem. Our planner supports alternative hypotheses of the human plan, temporal duration for the actions of both the robot and the human, constraints on the interaction between robot and human, partial goal achievement and, most importantly, the possibility to use observations of human actions in the policy generated for the robot. Our planner has been tested both as a stand-alone component and within a full framework for human-robot interaction in a real environment.