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Next-Generation Furniture Assembly by AI and Robots: Team SK2Y: A Winner of the Furniture Assembly Competition at AI–Robot Challenge 2021
- Authors
- Yun, Seongseop; Choi, Myoung-Su; Cho, Min-Young; Kim, Keunhwan; Lee, Dong-Hyuk; Jun, Sewoong; Bae, Ji-Hun; Shin, Dongjun
- Issue Date
- Aug-2022
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- Robots; Task analysis; Automation; Visualization; Fasteners; Text recognition; Shape
- Citation
- IEEE Robotics and Automation Magazine, v.30, no.2, pp 96 - 108
- Pages
- 13
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Robotics and Automation Magazine
- Volume
- 30
- Number
- 2
- Start Page
- 96
- End Page
- 108
- ISSN
- 1070-9932
1558-223X
- Abstract
- The 'Furniture Assembly AI-Robot Challenge 2021' is a competition that evaluates the performance of the robot for an assigned furniture assembly task by combining both artificial intelligence (AI) and robot technology. To generate commands such that a robot can execute the assembly instructions, it is essential to develop an AI-based algorithm that can recognize and interpret the assembly process based on the given instructions. The assembly robot must be dexterous and able to safely execute assembly tasks without operator intervention. © 1994-2011 IEEE.
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Related Researcher
- Bae, Ji Hun
- ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)