Papers

52

Total Citations

705

H-Index

16

About

Zhuang Fu is a robotics researcher whose work spans wall-climbing robots, bio-inspired adhesion mechanisms, service robotics, and autonomous systems. Best known for pioneering suction-based climbing technologies, Fu has made foundational contributions to how robots adhere to and navigate vertical surfaces — a challenge with broad industrial implications. His early work on single and dual suction cup wall-climbing robots (2004–2006, combined 102 citations) established key mechanical and dynamic principles still referenced today, while his 2009 research on bio-inspired miniature suction cups actuated by shape memory alloy (51 citations) offered an elegant, low-noise alternative to conventional vacuum pumps by drawing inspiration from biological suction mechanisms. Fu's 2013 investigation into magnetic adhesion mechanisms for wall-climbing welding robots (41 citations) further extended this expertise toward real-world industrial applications such as ship manufacturing. Beyond climbing robots, his research portfolio reveals impressive breadth: from restaurant service robots and assistive cooking systems for elderly and disabled users, to cable-tunnel inspection platforms and deep reinforcement learning-based vehicle speed control (35 citations). Collectively accumulating nearly 400 citations, Fu's career reflects a consistent drive to develop robots that operate meaningfully in complex, unstructured, and often hazardous real-world environments.

Research Focus

Key Achievements

16
H-Index
52
Papers
705
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Design and realization of a non-actuated glass-curtain wall-cleaning robot prototype with dual suction cups
53 citations · 2006
📈 Most Prolific Year: 2015 (6 Papers)
🤝 Key Collaborators: 110
🏛 Institutions: Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration

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 · 13 days ago