Abstract
Large demand for robotics and automation has been reflected in the sanding works, as current manual operations are labor-intensive, without consistent quality, and also subject to safety and health issues. While several machines have been developed to automate one or two steps in the sanding works, the autonomous capability of existing solutions is relatively low, and the human assistance or supervision is still heavily required in the calibration of target objects or the planning of robot motion and tasks. This paper presents the development of an autonomous sanding robot, which is able to perform the sanding works on an unknown object automatically, without any prior calibration or human intervention. The developed robot works as follows. First, the target object is scanned then modeled with the structured-light camera. Second, the robot motion is planned to cover all the surfaces of the object with an optimized transition sequence. Third, the robot is controlled to perform the sanding on the object under the desired impedance model. A prototype of the sanding robot is fabricated and its performance is validated in the task of sanding a batch of wooden boxes. With sufficient degrees of freedom (DOFs) and the customization of the end effector, the developed robot is able to provide a general solution to the autonomous sanding on many other different objects.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
| Publisher | IEEE |
| Pages | 2855-2860 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728140049 |
| ISBN (Print) | 9781728140056 |
| DOIs | |
| Publication status | Published - Nov 2019 |
| Externally published | Yes |
| Event | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) - The Venetian Macao, Macau, China Duration: 3 Nov 2019 → 8 Nov 2019 https://www.iros2019.org/ |
Publication series
| Name | IEEE International Conference on Intelligent Robots and Systems |
|---|---|
| ISSN (Print) | 2153-0858 |
| ISSN (Electronic) | 2153-0866 |
Conference
| Conference | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) |
|---|---|
| Abbreviated title | IROS 2019 |
| Place | China |
| City | Macau |
| Period | 3/11/19 → 8/11/19 |
| Internet address |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Funding
This work was supported in part by the Innovation and Technology Commission of Hong Kong under Grant no. UIM/335, and in part by the Science and Technology Innovation Council of Shenzhen under Grant no. JI20170480.
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