Papers
1
Total Citations
7
H-Index
1
About
Wenkai Yan is a researcher whose work centers on advancing robotic safety and human-robot interaction through innovative sensor-based collision detection. His primary research areas include force/torque sensing, robot collision identification, and intelligent control systems. Yan’s most notable contribution is his development of a novel collision detection algorithm that leverages six-axis force/torque sensor data, addressing a critical limitation in traditional methods. Unlike prior approaches that required knowledge of the colliding object’s surface geometry and assumed no deformation during impact, Yan’s algorithm uses real-time force information to identify collisions without these constraints, significantly enhancing robot adaptability in dynamic environments. This work, published in 2020, has garnered 7 citations, reflecting its growing influence in the field of robotic safety. By enabling robots to detect collisions without relying on pre-defined object models, Yan’s research paves the way for more robust and flexible robotic systems in manufacturing, healthcare, and service applications. His contributions are particularly valuable for students and researchers exploring sensor-based solutions to real-world robotic challenges.
Research Focus
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Top Papers
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