Robot Navigation in Crowded Environments Using Deep Reinforcement Learning
Lucia Liu,Daniel Dugas,Gianluca Cesari,Roland Siegwart,Renaud Dubé,Lucia Liu,Daniel Dugas,Gianluca Cesari,Roland Siegwart,Renaud Dubé
Mobile robots operating in public environments require the ability to navigate among humans and other obstacles in a socially compliant and safe manner. This work presents a combined imitation learning and deep reinforcement learning approach for motion planning in such crowded and cluttered environments. By separately processing information related to static and dynamic objects, we enable our net...
