Papers

23

Total Citations

593

H-Index

13

About

Binbin Lian is a prominent robotics researcher whose work centers on robot kinematics, mechanism design, and calibration theory, with particular expertise in applying screw theory to advance robotic precision and performance. His most influential contribution, "Kinematic Calibration of Serial and Parallel Robots Based on Finite and Instantaneous Screw Theory" (2020, 149 citations), established a generic and intuitive framework for error modeling and propagation that significantly improved calibration efficiency across both serial and parallel robot architectures. This foundational work is complemented by his widely cited textbook-level treatment, *Finite and Instantaneous Screw Theory in Robotic Mechanism* (2020, 66 citations), which has become a key reference in the field. Lian's research extends into hybrid manipulator design for demanding industrial applications, including friction stir welding and human-robot collaborative assembly, demonstrating a strong bridge between theoretical rigor and practical implementation. His more recent explorations into tensegrity robots and topology-dimension synchronized optimization reflect a versatile and forward-looking research vision. Across his portfolio, Lian has accumulated over 490 citations, signaling substantial influence on how the robotics community approaches kinematic modeling, structural design, and precision control. His work is essential reading for researchers pursuing high-accuracy robotic systems.

Research Focus

Key Achievements

13
H-Index
23
Papers
593
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Kinematic Calibration of Serial and Parallel Robots Based on Finite and Instantaneous Screw Theory
149 citations · 2020
📈 Most Prolific Year: 2023 (8 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Tianjin University, KTH Royal Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago