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AIPS
2004
14 years 11 months ago
Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection
Coordinated action for a team of robots is a challenging problem, especially in dynamic, unpredictable environments. Robot soccer is an instance of a domain where well defined goa...
Michael H. Bowling, Brett Browning, Manuela M. Vel...
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 2 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso
PUK
2001
14 years 11 months ago
Plan Representation and Plan Execution in Multi-agent Systems for Robot Control
Hardware agents as a part of cooperative multi-agent systems act in dynamically changing environments and accomplish tasks jointly. Since the pure hybrid plan representation provid...
Alexander Osherenko
AROBOTS
1998
100views more  AROBOTS 1998»
14 years 9 months ago
Interleaving Planning and Robot Execution for Asynchronous User Requests
Rogue is an architecture built on a real robot which provides algorithms for the integration of highlevel planning, low-level robotic execution, and learning. Rogue addresses succ...
Karen Zita Haigh, Manuela M. Veloso
ATAL
1999
Springer
15 years 1 months ago
A Planning Component for RETSINA Agents
In the RETSINA multi-agent system, each agent is provided with an internal planning component—the RETSINA planner. Each agent, using its internal planner, formulates detailed pla...
Massimo Paolucci, Onn Shehory, Katia P. Sycara, Di...