Wenzhong Xu
Papers
2
Total Citations
9
H-Index
2
About
Wenzhong Xu is a robotics researcher whose work focuses on enabling safe human-robot collaboration through advanced sensorless collision detection. His primary research areas include robot safety systems, collision detection algorithms, and motor parameter identification. Xu’s major contributions lie in developing innovative methods to detect robot collisions without requiring additional physical sensors, thereby reducing cost and complexity while maintaining safety. In his 2017 paper, he proposed a novel collision detection algorithm based on optimized velocity deviation, which has garnered 5 citations. Building on this, his 2019 work introduced a sensorless collision detection strategy using load torque observers and model reference adaptive systems to identify motor inertia and viscosity coefficients, earning 4 citations. Though his citation counts are modest, these papers represent foundational steps toward practical, sensorless safety systems in collaborative robotics—a critical area for industrial applications. Xu’s research is particularly notable for its focus on real-time, low-cost solutions that enhance robot safety, making his work relevant for engineers and researchers developing next-generation human-robot interaction systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sensorless Collision Detection for Robots Based on Load Torque Observer4 citations · 2019