Low Impedance Rendering Toward Safe Human-Robot Interaction

This study proposes a novel approach for low-impedance rendering in robots to ensure safe human-robot interaction. Low-impedance control enhances safety by enabling robots to respond flexibly to physical contact with humans. However, real-world disturbances such as friction often necessitate high impedance, creating a trade-off between safety and task precision. To address this challenge, a modified disturbance observer (DOB)-based control framework is introduced, designed to prevent external contact forces from being treated as disturbances. Experimental results demonstrate significant improvements in impedance rendering performance under various conditions, ensuring precise and safe robot operations in dynamic shared environments.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974040
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Low Impedance Rendering Toward Safe Human-Robot Interaction

Sehoon Oh, Junyoung Kim, Hyun-Joon Chung, Ki‐Young Choi et al.
Robotics and Automated Systems
article

Low Impedance Rendering Toward Safe Human-Robot Interaction

Sehoon Oh, Junyoung Kim, Hyun-Joon Chung, Ki‐Young Choi, Wonbum Yun
article en

Abstract

This study proposes a novel approach for low-impedance rendering in robots to ensure safe human-robot interaction. Low-impedance control enhances safety by enabling robots to respond flexibly to physical contact with humans. However, real-world disturbances such as friction often necessitate high impedance, creating a trade-off between safety and task precision. To address this challenge, a modified disturbance observer (DOB)-based control framework is introduced, designed to prevent external contact forces from being treated as disturbances. Experimental results demonstrate significant improvements in impedance rendering performance under various conditions, ensuring precise and safe robot operations in dynamic shared environments.

Daegu Gyeongbuk Institute of Science and Technology (KR), Korea Institute of Robot and Convergence (KR)
National Research Foundation of Korea
Openalex Percentile: Top 89%
Robotics and Automated Systems
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