Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction

Anxing Xiao(University of California, Berkeley), Wenzhe Tong(University of California, Berkeley), Lizhi Yang(University of California, Berkeley), Jun Zeng(University of California, Berkeley), Zhongyu Li(University of California, Berkeley), Koushil Sreenath(University of California, Berkeley)
Cited by 101

Abstract

An autonomous robot that is able to physically guide humans through narrow and cluttered spaces could be a big boon to the visually-impaired. Most prior robotic guiding systems are based on wheeled platforms with large bases with actuated rigid guiding canes. The large bases and the actuated arms limit these prior approaches from operating in narrow and cluttered environments. We propose a method that introduces a quadrupedal robot with a leash to enable the robot-guidinghuman system to change its intrinsic dimension (by letting the leash go slack) in order to fit into narrow spaces. We propose a hybrid physical Human Robot Interaction model that involves leash tension to describe the dynamical relationship in the robot-guiding-human system. This hybrid model is utilized in a mixed-integer programming problem to develop a reactive planner that is able to utilize slack-taut switching to guide a blind-folded person to safely travel in a confined space. The proposed leash-guided robot framework is deployed on a Mini Cheetah quadrupedal robot and validated in experiments (Video <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> )


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