AI and Digital Twin Federation-Based Flexible Safety Control for Human–Robot Collaborative Work Cell
Seung-Hwan Choi, Min Young Kim, Inho Lee, Byeong Hak Kim
- Year
- 2025
- Citations
- 4
Abstract
This paper proposes a safety response technology that leverages multi-domain vision sensors to monitor the positions of workers and robots in real-time. The technology calculates flexible protective separation distances (FPSD), which facilitate dynamic control of robot velocity and enable safety stops. Compliant with the ISO/TS 15066 technical specifications for speed and separation monitoring, this method not only satisfies stringent safety standards but also promotes a more adaptable working environment and improves productivity. The proposed method has been analyzed and validated using data acquired from multi-domain sensors within the collaborative workspace of worker-robot collaboration tasks, and its operation has been confirmed at variable worker and robot velocities through experimental scenarios.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991