Neural Network Based Path Planning Plan Design of Autonomous Mobile Robot
Kyung-seok Park, Han-Soo Choi · 2006 SICE-ICASE International Joint Conference · 2006
The part of manipulators is normally studied with regularized environmental conditions. However, it is the most difficult that the part of AMR must be studied with uncertainty in the environmental conditions. The part of AMR has skelton, sensor fusion, path planning etc. This paper is the research of the local pass planning that gathers information about external environment using neural network from each sensors and designs the algorithm which can determine which correct direction the robot can find. As the result of the research, AMR has been able to drive similarly as if the expert does and has been able to observe it acting without any control