Zhenqi Zhu

Stevens Institute of Technology

Papers

10

Total Citations

704

H-Index

8

About

Zhenqi Zhu is a leading researcher in robotic machining, parallel robotics, and sensor systems for industrial and service robots. His seminal work on chatter analysis in robotic machining (351 citations) established foundational methods for understanding and mitigating vibration-induced instability, a critical barrier to achieving precision with flexible industrial robots. Complementing this, his 2006 paper on machining with flexible manipulators (156 citations) systematically addressed the stiffness limitations of industrial robots compared to CNC machines, proposing methodologies to enhance machining quality and productivity. Zhu also made significant contributions to parallel robot design, including kinematic analysis and error modeling of the TAU parallel robot, achieving positioning accuracy as fine as 1.53 micrometers. His work on robotics standards, notably corrections to ANSI/RIA R15.05-1-1990, helped formalize performance evaluation protocols. Additionally, Zhu developed innovative tactile sensors using textiles, enabling full-body sensing for service robots with minimal output connections—a breakthrough for cost-effective, scalable touch-sensitive skins. His research on miniature pipe robots further advanced inspection capabilities for confined spaces in power plants and nuclear facilities. With over 700 total citations, Zhu’s interdisciplinary work continues to influence robotic precision, safety, and human-robot interaction.

Research Focus

Key Achievements

8
H-Index
10
Papers
704
Total Citations
70
Avg Citations/Paper
🏆 Most Cited Paper
Chatter analysis of robotic machining process
351 citations · 2006
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Stevens Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
    Miniature pipe robots
    15 citations · 2003
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago