Dynamic Motion Planning for Mobile Robots Using Potential Field Method
Autonomous Robots
A Novel Navigation Method for Autonomous Mobile Vehicles
Journal of Intelligent and Robotic Systems
Sensor-based Planning for a Rod-shaped Robot in Three Dimensions: Piecewise Retracts of R3 X S2
International Journal of Robotics Research
Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Drawing graphs with nonuniform nodes using potential fields
Journal of Visual Languages and Computing
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IEEE Transactions on Neural Networks
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ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
A new force-directed graph drawing method based on edge-edge repulsion
Journal of Visual Languages and Computing
New Potential Functions with Random Force Algorithms Using Potential Field Method
Journal of Intelligent and Robotic Systems
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An analytically tractable potential field model of free space is presented. The model assumes that the border of every two dimensional (2D) region is uniformly charged. It is shown that the potential and the resulting repulsion (force and torque) between polygonal regions can he calculated in closed form. By using the Newtonian potential function, collision avoidance between object and obstacle thus modeled is guaranteed in a path planning problem. A local planner is developed for finding object paths going through narrow areas of free space where the obstacle avoidance is most important. Simulation results show that not only does individual object configuration of a path obtained with the proposed approach avoid obstacles effectively, the configurations also connect smoothly into a path