Papers

27

Total Citations

901

H-Index

15

About

Zhuang Zhang is an innovative robotics and mechanical engineering researcher whose work spans soft robotics, origami-inspired mechanisms, haptic sensing, and compliant mechanism design. His research is united by a compelling vision: bridging the gap between rigid conventional robotics and the adaptive, compliant behaviors found in living organisms. Zhang's most celebrated contributions include pioneering fabric-based pneumatic actuators that deliver powerful, high-range motion in lightweight form factors (118 citations), and versatile plug-and-play origami modules capable of achieving bending, twisting, and extension in controllable combinations (117 citations). His work on bimodal haptic sensors that quantify both softness and texture for robotic manipulation (106 citations) represents a significant step toward replicating human somatosensory capability in machines. His hybrid rigid-soft origami actuators and continuum robot designs further demonstrate his ability to creatively merge structural ingenuity with functional robotics. Beyond soft robotics, Zhang has made foundational contributions to compliant mechanism analysis through principal-axes decomposition of compliance matrices (54 citations) and explored emerging materials such as Mo₂S₃ nanowire networks for breathable electronic skins (46 citations). With cumulative citations exceeding 700 across his most-cited works alone, Zhang has established himself as a highly productive and impactful voice shaping the future of intelligent, human-centered robotic systems.

Research Focus

Key Achievements

15
H-Index
27
Papers
901
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Soft and lightweight fabric enables powerful and high-range pneumatic actuation
118 citations · 2023
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 98
🏛 Institutions: Shanghai Jiao Tong University, Westlake University, Chinese Academy of Sciences, Fudan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago