Robot Motion Planning
Heuristic Algorithm for Robot Path Planning Based on Real Space Renormalization
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
An Algorithm for Robot Path Planning with Cellular Automata
Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata
Elastic string based global path planning using neural networks
CIRA '97 Proceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation
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The Robot World Cup Initiative (RoboCup) is an international joint project to promote AI, robotics, and related field. It provides a standard platform for robotic soccer game which includes a vision system, a strategic play algorithm and small mobile robots. The aim of the vision system for RoboCup small robot league is to track and predict the motion states of 6 agents and a ball, and send the states information to the Artificial Intelligence module. This paper presents a design and implementation of a real-time, robust global vision system. The two main efforts are realized in this study, design and implementation of multi robot structure and the construction and testing of the tracking and path planning algorithm. In the tracking phase, the color-based segmentation is used to locate the interesting objects in the image; the blob analysis is adopted to calculate the positions of the objects in the image and the noise is filtered out; and the linear filter is adopted to track and predict information of the states. It has been planned that the information gathered using this study can be used in multiple agent robotics applications.