Mickael Young
Papers
1
Total Citations
3
H-Index
1
About
Mickael Young is a researcher focused on advancing human-robot collaboration in manufacturing, with a particular emphasis on intuitive control interfaces and safe interaction protocols. His most-cited work, "Hand Gesture Based Motion Control of Collaborative Robot In Assembly Line" (2021), addresses a critical challenge in Industry 4.0: enabling seamless, natural communication between human workers and collaborative robots on the factory floor. Young’s research proposes a comprehensive model for robot motion control that integrates real-time awareness of both the surrounding environment and the human operator’s gestures, aiming to replace traditional programming interfaces with more accessible, gesture-driven commands. While his citation count is currently modest at 3, the work’s focus on practical, human-centric automation positions it as a foundational contribution to the growing field of intuitive human-robot interaction. Young’s research is particularly relevant for students and engineers seeking to understand how collaborative robots can be safely and efficiently integrated into assembly lines, highlighting the importance of designing systems that adapt to human behavior rather than requiring specialized technical expertise from operators.
Research Focus
Key Achievements
Top Papers
- 1