LBGP: Learning Based Goal Planning for Autonomous Following in Front
Payam Nikdel Richard Vaughan Mo Chen Payam Nikdel Richard Vaughan Mo Chen
This paper investigates a hybrid solution which combines deep reinforcement learning (RL) and classical trajectory planning for the "following in front" application. Here, an autonomous robot aims to stay ahead of a person as the person freely walks around. Following in front is a challenging problem as the user’s intended trajectory is unknown and needs to be estimated, explicitly or implicitly, ...