Identifying Valid Robot Configurations via a Deep Learning Approach
Tuan Tran,Chinwe Ekenna,Tuan Tran,Chinwe Ekenna
Many state-of-art robotics applications require fast and efficient motion planning algorithms. Existing motion planning methods become less effective as the dimensionality of the robot and its workspace increases, especially the computational cost of collision detection routines. In this work, we present a framework to address the cost of expensive primitive operations in sampling-based motion pla...
