Multiagent Robotic Systems
Multi-agent Optimal Path Planning for Mobile Robots in Environment with Obstacles
PSI '99 Proceedings of the Third International Andrei Ershov Memorial Conference on Perspectives of System Informatics
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Intelligent Autonomous Robotics: A Robot Soccer Case Study
Intelligent Autonomous Robotics: A Robot Soccer Case Study
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In this paper we present a framework for path planning and path finding for multiple mobile robots with global vision. Our framework model considers the agents' dynamic status and their environment with obstacles to perform given tasks. The global vision system provides feedback to main controller computer and mobile robots are directed towards to their tasks with avoiding obstacles and without any collision. Different kinds of scenario are prepared to simulate manipulating tasks and non-collision behavior with our framework. Experiment results with Lego Mindstorms NXT shows that our framework can be used where a multi robot system is needed with minimum resources.