Multilevel projection methods for partial differential equations
Multilevel projection methods for partial differential equations
Robot Motion Planning
Biologically inspired neural network approaches to real-time collision-free robot motion planning
Biologically inspired robot behavior engineering
Experimental Reaction–Diffusion Chemical Processors for Robot Path Planning
Journal of Intelligent and Robotic Systems
Flying Fast and Low Among Obstacles: Methodology and Experiments
International Journal of Robotics Research
Real-time robot path planning based on a modified pulse-coupled neural network model
IEEE Transactions on Neural Networks
A biologically inspired neural network for autonomous underwater vehicles
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Survey of Motion Planning Literature in the Presence of Uncertainty: Considerations for UAV Guidance
Journal of Intelligent and Robotic Systems
Optimal Robot Path Planning with Cellular Neural Network
International Journal of Intelligent Mechatronics and Robotics
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This paper presents a numerical potential function for point-robot pathplanning in configuration space based on the theory of fluid mechanics.Ideal fluid is first simulated using Poisson’s equation and heuristicpath planning algorithms are established by comparisons of the velocitypotentials. Several computational techniques are experimented and compared.A bitmap collision detection technique is proposed for non-point robots.This fluid model creates an environment which is not only free of localminima but also beneficial for navigation control.