Home /Research /Customizing Textile and Tactile Skins for Interactive Industrial Robots
PERCEPTION

Customizing Textile and Tactile Skins for Interactive Industrial Robots

Bo Su, Zhongqi Wei, James C. McCann, Wenzhen Yuan, Changliu Liu

Year
2023
Citations
2

Abstract

Abstract Tactile skins made from textiles enhance the robot–human interaction by localizing contact points and measuring contact forces. This paper presents a solution for rapidly fabricating, calibrating, and deploying these skins on industrial robot arms. The novel automated skin calibration procedure maps skin locations to robot geometry and calibrates contact force. Through experiments on a FANUC LR Mate 200id/7L industrial robot, we demonstrate that tactile skins made from textiles can be effectively used for human–robot interaction in industrial environments, and can provide unique opportunities in robot control and learning, making them a promising technology for enhancing robot perception and interaction.

Keywords

TextileRobotHuman–computer interactionEngineeringComputer scienceEngineering drawingArchitectural engineeringVisual artsManufacturing engineeringMaterials science

Related papers

Browse all PERCEPTION papers