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ICML
2000
IEEE
14 years 9 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
GECCO
2009
Springer
14 years 3 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
KI
2007
Springer
14 years 2 months ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
EUROCAST
2005
Springer
87views Hardware» more  EUROCAST 2005»
14 years 2 months ago
Soft Computing and Geometrical Control for Computer Aided Driving
After having designed control systems for real autonomous cars in an urban environment using straight lines as reference [2], we are now trying to build a fuzzy control system base...
Javier Ruiz, Teresa de Pedro, Carlos Gonzál...
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
14 years 2 months ago
Adaptive and Evolvable Network Services
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
Tadashi Nakano, Tatsuya Suda