Facilitating Human-Mobile Robot Communication via Haptic Feedback and Gesture Teleoperation

Author:

Che Yuhang1,Culbertson Heather2,Tang Chih-Wei3,Aich Sudipto3,Okamura Allison M.1

Affiliation:

1. Stanford University, CA

2. University of Southern California, CA

3. Ford Motor Company, Palo Alto, CA

Abstract

In this article, we present a bi-directional communication scheme that facilitates interaction between a person and a mobile robot that follows the person. A person-following robot can assist people in many applications including load carrying, elder care, and emotional support. However, commercially available personal robot systems usually have limited sensing and actuation capabilities. They are not expected to function perfectly in complex environments, and human intervention is required when the robot fails. We propose to use a holdable mechatronic device to reduce the user’s effort in communication and enable natural interaction during the intervention. Our design of the holdable device consists of two parts: a haptic interface that displays touch cues to convey the robot’s failure status via asymmetric vibrations, and a command interface for teleoperating the robot follower with hand gestures. We experimentally evaluated the device and the communication strategy in two sets of user studies with a controlled environment and a physical robot follower. Results show that with the proposed method, users are able to perform their tasks better, respond to robot failure events faster, and adjust walking speed according to the robot’s limitations. We also demonstrate that users can successfully teleoperate the robot to avoid obstacles when navigating in challenging environments.

Funder

Ford Motor Company and Stanford University MediaX

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

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