Papers

14

Total Citations

164

H-Index

7

About

Junmin Wang is a robotics and mechanical engineering researcher whose work sits at the intersection of human-robot interaction, variable stiffness mechanisms, and autonomous systems. He is best known for his pioneering contributions to the design and modeling of compliant robotic systems that prioritize safety during physical human-robot interaction (pHRI). His most influential work explores how intentionally introducing mechanical compliance — through both compliant joints and compliant links — can reduce impact forces during accidental contact, offering inherently safer collaborative robots, or "corobots." His 2020 paper on layer-jamming-based variable stiffness mechanisms has garnered 39 citations, reflecting strong community interest in tunable compliance solutions. Wang's research rigorously investigates the fundamental tradeoffs between safety and robot performance, including impact force reduction versus operational speed in variable stiffness systems. Beyond pHRI safety, his work extends to illumination-resilient lane detection for autonomous vehicles, vehicle stability control, and optimization of last-mile delivery fleets integrating mobile robots and electric trucks. This breadth demonstrates a versatile engineering perspective spanning mechanical design, control theory, and autonomous systems. With over 150 total citations across his published work, Wang's contributions are shaping how next-generation robots can operate safely and effectively alongside humans in unstructured environments.

Research Focus

Key Achievements

7
H-Index
14
Papers
164
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A parallel-guided compliant mechanism with variable stiffness based on layer jamming
39 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: The University of Texas at Austin, The Ohio State University, Walker (United States)

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago