Ben Stoffelen
Papers
1
Total Citations
39
H-Index
1
About
Dr. Ben Stoffelen is a leading voice in the field of human–robot collaboration, with a focused expertise in sensor-integrated safety systems and industrial automation. His most-cited work, the 2024 review "Sensor-Enabled Safety Systems for Human–Robot Collaboration," has already garnered 39 citations, establishing a foundational framework for how robots can safely perceive and react to human presence in shared workspaces. By systematically analyzing sensor technologies—from proximity detectors to vision-based systems—Stoffelen has provided a critical roadmap for designing collaborative robots that dynamically adjust their behavior to prevent accidents. His research directly addresses the core challenge of Industry 5.0: enabling seamless, safe interaction between humans and machines without sacrificing productivity. Beyond this landmark review, Stoffelen’s contributions extend to developing real-time risk assessment algorithms and adaptive control strategies that allow robots to operate at variable speeds based on worker proximity. His work is essential reading for engineers and researchers developing next-generation manufacturing environments, where safety and efficiency must coexist.
Research Focus
Key Achievements
Top Papers
- 1Sensor-Enabled Safety Systems for Human–Robot Collaboration: A Review39 citations · 2024