Symbolic Error Analysis and Robot Planning
Symbolic Error Analysis and Robot Planning
Planning for Conjunctive Goals
Planning for Conjunctive Goals
An Analysis of Conjunctive Goal Planning
An Analysis of Conjunctive Goal Planning
Computational research on interaction and agency
Artificial Intelligence
Robotics and Autonomous Systems
A framework for building mobile single and multi-robot applications
Robotics and Autonomous Systems
A survey of motivation frameworks for intelligent systems
Artificial Intelligence
A hybrid deliberative layer for robotic agents: fusing DL reasoning with HTN planning in autonomous robots
Informed deliberation during norm-governed practical reasoning
AAMAS'05 Proceedings of the 2005 international conference on Agents, Norms and Institutions for Regulated Multi-Agent Systems
Learning in behavior-based multi-robot systems: policies, models, and other agents
Cognitive Systems Research
The actor's view of automated planning and acting: A position paper
Artificial Intelligence
Robotics and artificial intelligence: A perspective on deliberation functions
AI Communications - ECAI 2012 Turing and Anniversary Track
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A model of purely reactive planning is proposed based on the concept of reactive action packages. A reactive action package, or RAP, can be thought of as an independent entity pursuing some goal in competition with many others at execution time. The RAP processing algorithm addresses the problems of execution monitoring and replanning in uncertain domains with a single, uniform representation and control structure. Use of the RAP model as a basis for adaptive strategic planning is also discussed.