Model based assembly state estimation algorithm for the components of Tablet PC

Lee Dong-Hyeong; Na Min-Woo; Kim Young-Loul; Jae-Bok Song

doi:10.1109/URAI.2017.7992814

Model based assembly state estimation algorithm for the components of Tablet PC

Lee Dong-Hyeong, Na Min-Woo, Kim Young-Loul, Jae-Bok Song

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/URAI.2017.7992814
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

Other

Other	14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Country	Korea, Republic of
City	Jeju
Period	17/6/28 → 17/7/1

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

Access to Document

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Model based assembly state estimation algorithm for the components of Tablet PC. / Dong-Hyeong, Lee; Min-Woo, Na; Young-Loul, Kim; Song, Jae-Bok.

2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 740-743 7992814.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dong-Hyeong, L, Min-Woo, N, Young-Loul, K & Song, J-B 2017, Model based assembly state estimation algorithm for the components of Tablet PC. in 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017., 7992814, Institute of Electrical and Electronics Engineers Inc., pp. 740-743, 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, Jeju, Korea, Republic of, 17/6/28. https://doi.org/10.1109/URAI.2017.7992814

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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.",

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