One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks
Tomas Kulvicius,Sebastian Herzog,Timo Lüddecke,Minija Tamosiunaite,Florentin Wörgötter,Tomas Kulvicius,Sebastian Herzog,Timo Lüddecke,Minija Tamosiunaite,Florentin Wörgötter
Path planning is important for robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed. Most of the current approaches are iterative methods where the trajectory is generated by predicting the next state based on the current state. Here we propose a novel method by utilising a fully convolutional neural network, ...
