A 3-level autonomous mobile robot navigation system designed by using reasoning/search approaches
Robotics and Autonomous Systems
Fuzzy dynamic modeling for walking modular robot control
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
Hierarchical Bayesian reliability analysis of complex dynamical systems
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
Grasping objects with mobile robots
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
Adaptive navigation for autonomous robots
Robotics and Autonomous Systems
Methods and algorithms for motion control of walking mobile robot with obstacle avoidance
ECC'11 Proceedings of the 5th European conference on European computing conference
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The paper presents an intelligent control algorithm of a walking robot for avoiding obstacles in the work environment. Algorithm is based on artificial vision and is composed of four modules: capture and image analysis, neural controller, Bezier interpolation and generation of new support points. The first module processes captured image and provide data for a neural controller. Neural controller provides according to received data the coefficients of rotation to left and to right used to calculate the angle of rotation that robot must made on next step. Bezier interpolation module calculates the deviation from the old path and recalculate a new the robot path. The last module provides data to a robot leg control algorithm. The results obtained by applying this algorithm indicates that you can to control the robot in a fast feedback loop and that it can generate the part to the target point on the shortest path with avoiding obstacles in the robot environment.