TY - GEN
T1 - Automated Robot Skill Parameterization Based On Task Specifications
AU - Kurscheid, Sebastian
AU - Daub, Ruediger
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - High-mix, low-volume manufacturing still relies on manual labor despite the potential for automation. This is due to the high cost of robot programming, which is required on a frequent basis. Skill-based frameworks for robot programming have reduced the expertise level and effort required for automation to meet the demands of high-mix, low-volume manufacturing. In these frameworks, the capabilities of robots are encapsulated in skills. By parameterizing these robot skills, they are adapted to new variants or products. This paper presents a concept for automating the parameterization process based on task specifications to reduce worker efforts by combining natural language processing and knowledge models.
AB - High-mix, low-volume manufacturing still relies on manual labor despite the potential for automation. This is due to the high cost of robot programming, which is required on a frequent basis. Skill-based frameworks for robot programming have reduced the expertise level and effort required for automation to meet the demands of high-mix, low-volume manufacturing. In these frameworks, the capabilities of robots are encapsulated in skills. By parameterizing these robot skills, they are adapted to new variants or products. This paper presents a concept for automating the parameterization process based on task specifications to reduce worker efforts by combining natural language processing and knowledge models.
KW - industrial robots
KW - information extraction
KW - knowledge modeling
KW - manufacturing
KW - skill parameterization
KW - skill-based programming
UR - http://www.scopus.com/inward/record.url?scp=85207835662&partnerID=8YFLogxK
U2 - 10.1109/ETFA61755.2024.10711102
DO - 10.1109/ETFA61755.2024.10711102
M3 - Conference contribution
AN - SCOPUS:85207835662
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
A2 - Facchinetti, Tullio
A2 - Cenedese, Angelo
A2 - Bello, Lucia Lo
A2 - Vitturi, Stefano
A2 - Sauter, Thilo
A2 - Tramarin, Federico
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024
Y2 - 10 September 2024 through 13 September 2024
ER -