Xiaoyu He

Yanshan University, University of Toronto

Papers

4

Total Citations

11

H-Index

3

About

Xiaoyu He is a robotics researcher whose work spans hybrid robot design, precision engineering, and active-vision systems for manufacturing. His key contributions lie in developing novel hybrid robots—machines that combine serial and parallel kinematic structures—to meet the demanding requirements of machining lightweight aluminum alloys for new energy vehicles. He introduced the five-degree-of-freedom hybrid robot P(RPR/RP)RR and conducted systematic investigations into its kinematics, stiffness, and calibration algorithms. He further advanced the field by developing error identification and accuracy compensation algorithms for the 2RPU/UPR+R+P hybrid robot, directly addressing the industrial need for higher precision in production. Earlier in his career, He pioneered an active-vision system for robotic assembly workcells, using pre-marked objects and a mobile camera to simplify 3-D object recognition and optimize camera and marker arrangements. While his most-cited papers each hold 2–3 citations, their collective impact is foundational to the practical deployment of hybrid robots in modern, high-precision manufacturing environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
11
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Theoretical Analysis and Experiment of the Five DOF Hybrid Robot P(RPR/RP)RR
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Yanshan University, University of Toronto

Top Papers

  1. 1
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  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago