Papers
1
Total Citations
3
H-Index
1
About
Yan Jun is a researcher focused on advancing human-machine interaction technologies, with a particular emphasis on safety and tactile sensing systems. Their most cited work, "Design of data acquisition system for surface pressure perception matrix" (2017, 3 citations), addresses a critical challenge in robotics: enabling robots to safely and intuitively interact with humans through enhanced pressure sensing capabilities. This contribution supports the development of more responsive and secure human-robot collaboration, an increasingly vital area as automation expands into everyday environments. Yan Jun’s research underscores the importance of robust data acquisition in creating intelligent, human-aware robotic systems. While their citation count is modest, their work contributes foundational insights into the hardware and system design necessary for safer human-machine interfaces. Yan Jun’s efforts align with broader trends in robotics and interaction design, highlighting the ongoing need for innovation in tactile perception to bridge the gap between human users and autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1Design of data acquisition system for surface pressure perception matrix3 citations · 2017