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AIPS
2004
13 years 7 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»
13 years 10 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
13 years 7 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»
13 years 5 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
13 years 10 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...