Subspace Projection-Based Collision Detection for Physical Interaction Tasks of Collaborative Robots

Citations

WEB OF SCIENCE

9

초록

In recent years, various collision detection methods have been proposed for safe human-robot collaboration; these methods are usually model-based. However, most tasks conducted by collaborative robots involve a physical robot-environment interaction, and it is very difficult to design a model of such interaction that varies depending on the external environment. Therefore, this study proposes a method for detecting collision between a human and a robot while the robot executes a task involving physical interaction with an unknown environment. To this end, a collision detection index is suggested based on the subspace projection technique. The proposed collision detection scheme is verified experimentally using a 7-DOF robot arm, and the experimental results show that collisions can be detected reliably by the proposed method.

키워드

Human-robot collaboration; Collision safety; Physical interaction tasks; Collaborative robots; FAULT-DETECTION; CONTACT; DIAGNOSIS
제목
Subspace Projection-Based Collision Detection for Physical Interaction Tasks of Collaborative Robots
저자
Lee, Sang-Duck; Ahn, Kuk-Hyun; Song, Jae-Bok
DOI
10.1007/s12541-019-00130-z
발행일
2019-07
유형
Article
저널명
International Journal of Precision Engineering and Manufacturing
권
20
호
7
페이지
1119 ~ 1126