Evolvable Motion-planning Method using Deep Reinforcement Learning
Kaichiro Nishi,Nobuaki Nakasu,Kaichiro Nishi,Nobuaki Nakasu
A motion-planning method that can adapt to changes in the surrounding environment is proposed and evaluated. Automation of work is progressing in factories and distribution warehouses due to labor shortages. However, utilizing robots for transport operations in a distribution warehouse faces a problem; that is, tasks for setting up a robot, such as adjustment of acceleration for stabilization of t...
