Zi-Peng Chi

South China University of Technology

Papers

2

Total Citations

28

H-Index

2

About

Zi-Peng Chi is a rising researcher in the field of intelligent manufacturing and human-robot collaboration, with a focus on adaptive robotic machining of complex geometries. His work addresses critical challenges in automating finishing processes—such as grinding and polishing—for high-value components like impellers and complex workpieces. Chi’s major contributions include developing adaptive virtual fixtures and haptic interfaces that enable seamless human-robot collaborative programming, allowing operators to intuitively guide robots through intricate tasks while maintaining precision and safety. His 2022 paper on adaptive human-robot collaboration for robotic grinding has garnered 26 citations, reflecting its impact on advancing flexible automation in manufacturing. More recently, his 2025 work on collaborative polishing of impellers demonstrates ongoing innovation in integrating human expertise with robotic dexterity. By bridging the gap between manual craftsmanship and automated precision, Chi’s research holds promise for industries requiring high-quality surface finishing, such as aerospace and automotive manufacturing. His work exemplifies the future of human-robot teams in complex production environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive human-robot collaboration for robotic grinding of complex workpieces
26 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: South China University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago