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» AI planning: solutions for real world problems
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ESA
2008
Springer
137views Algorithms» more  ESA 2008»
13 years 9 months ago
Flexible Path Planning Using Corridor Maps
Path planning is a central problem in virtual environments and games. When computer-controlled characters move around in virtual worlds they have to plan their paths to desired loc...
Mark H. Overmars, Ioannis Karamouzas, Roland Gerae...
AI
1999
Springer
13 years 7 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
14 years 1 months ago
Integrated Optimization and Multi-Agent Technology for Combined Production and Transportation Planning
In this research project, an integration of multi-agent technology and optimization techniques is suggested for the combined production and transport planning problem in a transpo...
Jan A. Persson, Paul Davidsson
AIPS
2000
13 years 9 months ago
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot
Planning for real robots to act in dynamic and uncertain environments is a challenging problem. A complete model of the world is not viable and an integration of deliberation and ...
Manuela M. Veloso, Elly Winner, Scott Lenser, Jame...
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 7 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone