Abstract
To overcome the disadvantages of position control and force control based assembly strategies for robotic assembly of small precision parts of mobile IT devices, the model based assembly strategy was applied. The assembly model was established based on the position data of the robot end-effector and the threshold value of the contact force data about the specific contact formations, and the contact formation and the assembly result were determined based on the established model. Also, the validity of the algorithm is verified by comparing the success of the actual assembly results with the assembly results judged by the assembly algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 740-743 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509030552 |
| DOIs | |
| Publication status | Published - 2017 Jul 25 |
| Event | 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of Duration: 2017 Jun 28 → 2017 Jul 1 |
Publication series
| Name | 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 |
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Other
| Other | 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 17/6/28 → 17/7/1 |
Bibliographical note
Funding Information:This research was supported by the MOTIE under the Industrial Foundation Technology Development Program supervised by the KEIT (No. 10060110)
Publisher Copyright:
© 2017 IEEE.
Keywords
- Assembly model
- Contact formation
- State estimation
- Tablet PC
- Threshold
ASJC Scopus subject areas
- Computer Science Applications
- Biomedical Engineering
- Artificial Intelligence
- Human-Computer Interaction
- Control and Optimization