With the widespread use of service robots, safety issues regarding human-robot collisions have received increasing attention. The collision detection algorithm, which allows a robot to effectively detect and react against a collision, is considered as one of the most practical solutions for ensuring collision safety. However, these algorithms are often model-based, so it cannot ensure collision safety under payload variations or model uncertainty. In this paper, a novel collision detection algorithm based on torque filtering is proposed to cope with this problem. The torque due to the motion of the robot can be effectively removed using the Butterworth 2nd-order BPF (band pass filter) so that only the torque due to a collision is used for collision detection. This improves the robustness of the algorithm against model uncertainties. The proposed algorithm does not require the use of acceleration data. The performance of the algorithm was experimentally verified.
|Number of pages
|International Journal of Control, Automation and Systems
|Published - 2013 Aug
Bibliographical noteFunding Information:
This work was supported by the Human Resources Development Program for Convergence Robot Specialists and by Korea University Research Fund.
- Band pass filter
- collision detection
- collision safety
- torque filtering
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications