Close-Range Human Following Control on a Cane-Type Robot With Multi-Camera Fusion
Haowen Liu, Fengxian Wu, Bin Zhong, Yijun Zhao, Jiatong Zhang, Wenxin Niu, Mingming Zhang
Abstract
Cane-type robots have been utilized to assist the mobility-impaired population. The essential technique for cane-type robots is to follow the user's ambulation at a close range. This study developed a new cane-type wheeled robot and proposed a novel human-following control frame with multi-camera fusion. This human following control adopts a cascade control strategy consisting of two parts: 1) a human following position controller that locates a user by detecting his/her legs' positions via multi-camera fusion and 2) a cane robot velocity controller to steer the cane robot to the target position. The proposed strategy's effectiveness has been validated in outdoor experiments with six healthy subjects. The experimental scenarios included different terrains (i.e., straight, turning, and inclined paths), road conditions (i.e., asphalt and brick roads) and walking speeds. The obtained results showed that the average tracking error in the X and Y directions was less than 4.1 and 4.4 cm, respectively, and the error in angle was less than 12.9 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> across all scenarios. Moreover, the cane robot can effectively adapt to a wide range of individual gait patterns and achieve stable human following at daily walking speeds (0.74 m/s–1.47 m/s).