Papers

23

Total Citations

493

H-Index

13

About

Panfeng Wang is a prominent robotics researcher whose work spans parallel and hybrid robot design, kinematic optimization, and advanced manufacturing automation. His research has made substantial contributions to the mechanical design and performance optimization of complex robotic systems, with particular focus on parallel robots, tensegrity structures, and precision machining applications. Wang's most influential contribution, "Optimal Design of a 4-DOF SCARA Type Parallel Robot" (2012, 88 citations), established foundational methodologies for applying dynamic performance indices to robot architecture optimization — work that continues to shape parallel robot design practice. His 2020 calibration study (74 citations) advanced precision kinematic modeling for articulated serial robots, addressing critical gaps in error accumulation during complex task execution. Further demonstrating his versatility, Wang pioneered hybrid manipulator designs for friction stir welding (47 citations), delivering high-stiffness solutions for demanding industrial processes. More recently, Wang has pushed into emerging areas, including tensegrity robotics — developing both analytical frameworks and novel quadruped platforms — while tackling large-scale in-situ machining challenges through topology and dimensional optimization. With over 400 cumulative citations across a decade of publication, his portfolio reflects a consistent drive to bridge theoretical robot design with real-world industrial impact.

Research Focus

Key Achievements

13
H-Index
23
Papers
493
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Design of a4-DOF SCARA Type Parallel Robot Using Dynamic Performance Indices and AngularConstraints
88 citations · 2012
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 54
🏛 Institutions: Tianjin University, Hunan University, Tianjin University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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