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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
- 제목
- Subspace Projection-Based Collision Detection for Physical Interaction Tasks of Collaborative Robots
- 저자
- Lee, Sang-Duck; Ahn, Kuk-Hyun; Song, Jae-Bok
- 발행일
- 2019-07
- 유형
- Article
- 권
- 20
- 호
- 7
- 페이지
- 1119 ~ 1126