Guided Autowave Pulse Coupled Neural Network (GAPCNN) based real time path planning and an obstacle avoidance scheme for mobile robots
Investigates the shortcomings of the MPCNN model proposed recently for mobile robots. Directional constraints on the autowave for informed search of configuration space. Dynamic thresholding of the underlying neural network to increase time efficiency. On ground implementation that verifies the efficacy of the proposed algorithm.
neural networks gapcnn path planning obstacle avoidance