Self-Driving Mobile Robots Using Human-Robot Interactions
Justin L. Miller, Sanghyun Hong, Jianbo Lǚ · 2018
This paper presents a robotic system implementation featuring an autonomy solution that incorporates human intents through effective human-robot interactions. More specifically, vision-based human pose estimation is used to identify gestures that correspond to human intents. These intents are mapped to predefined commands that schedule autonomous operations of the robotic system. The paper presents an overview of an autonomy solution for mobile robots, an approach to human-following operation, and an approach to automated decision-making for parking operations. Experimental results of the physical robot implementation are presented.