Xinxue Chai

Zhejiang Sci-Tech University

Papers

13

Total Citations

357

H-Index

10

About

Xinxue Chai is a prominent robotics and mechanical engineering researcher whose work spans parallel mechanism design, bioinspired robotics, and advanced manufacturing systems. Their most significant contributions lie in the development and optimization of parallel kinematic mechanisms (PKMs), with particular focus on redundantly actuated systems for demanding industrial applications such as friction stir welding — a paper that has garnered 74 citations and demonstrated how parallel robots can overcome the structural limitations of serial manipulators under high axial forces. Chai's foundational work on reconfigurable parallel mechanisms and UP-equivalent mechanism families has shaped how researchers approach multi-degree-of-freedom robotic systems with enhanced rotational capability. Beyond industrial robotics, Chai has made striking contributions to bioinspired design, developing a novel mantis shrimp robot featuring rigid-flexible swimming appendages and a rope-driven spine, with related target-tracking and central pattern generator work collectively accumulating over 90 citations in just one to two years — signaling rapid community interest. Their dynamic modeling work using screw theory further underscores a rigorous analytical approach across diverse platforms, including beaver-like robotic tails. Chai's cumulative citation record and range of high-impact publications mark them as an innovative force bridging theoretical mechanism design with cutting-edge robotic applications.

Research Focus

Key Achievements

10
H-Index
13
Papers
357
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Kinematic Sensitivity Analysis and Dimensional Synthesis of a Redundantly Actuated Parallel Robot for Friction Stir Welding
74 citations · 2020
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Zhejiang Sci-Tech University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago