Evolution of fuzzy behaviors for multi-robotic system
Robotics and Autonomous Systems
Mobile robot navigation using motor schema and fuzzy context dependent behavior modulation
Applied Soft Computing
Using priorities to simplify behavior coordination
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A Hybrid Intelligent System for Pipeline Robot Navigation in Unknown Environment
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Multi-sensor surveillance of indoor environments by an autonomous mobile robot
International Journal of Intelligent Systems Technologies and Applications
Fuzzy Sets and Systems
A practical fuzzy logic controller for sumo robot competition
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
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An extensive fuzzy behavior-based architecture is proposed for the control of mobile robots in a multiagent environment. The behavior-based architecture decomposes the complex multirobotic system into smaller modules of roles, behaviors and actions. Fuzzy logic is used to implement individual behaviors, to coordinate the various behaviors, to select roles for each robot and, for robot perception, decision-making, and speed control. The architecture is implemented on a team of three soccer robots performing different roles interchangeably. The robot behaviors and roles are designed to be complementary to each other, so that a coherent team of robots exhibiting good collective behavior is obtained.