Abstract
Collaborative robots need to estimate external forces applied to the end-effector or body to enable precise direct teaching and collision detection. For this purpose, many robots are equipped with Joint Torque Sensors (JTS), which estimate external forces at the robot's end by measuring the torque at each joint. Robot joints are subjected to complex loads, including moment, axial, and radial loads, in addition to torque loads due to the robot's movements and posture. Therefore, accurate torque measurement is crucial even under these conditions. Existing JTS designs use Cross-Roller Bearings (CRB) to support complex loads and minimize crosstalk errors. However, they are affected by vibrations, torque ripple, and assembly stress from the reducer's operation, and are limited to specific types of reducers. In this study, we developed a JTS with an embedded CRB to minimize crosstalk errors and withstand complex loads. The developed JTS can be used as an independent sensor, making it widely applicable to robots using various types of reducers.
| Original language | English |
|---|---|
| Title of host publication | 2024 24th International Conference on Control, Automation and Systems, ICCAS 2024 |
| Publisher | IEEE Computer Society |
| Pages | 1655-1659 |
| Number of pages | 5 |
| ISBN (Electronic) | 9788993215380 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 24th International Conference on Control, Automation and Systems, ICCAS 2024 - Jeju, Korea, Republic of Duration: 2024 Oct 29 → 2024 Nov 1 |
Publication series
| Name | International Conference on Control, Automation and Systems |
|---|---|
| ISSN (Print) | 1598-7833 |
Conference
| Conference | 24th International Conference on Control, Automation and Systems, ICCAS 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 24/10/29 → 24/11/1 |
Bibliographical note
Publisher Copyright:© 2024 ICROS.
Keywords
- Crosstalk error
- Joint torque sensors (JTS)
- Strain gauge sensors
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering