Chuanjiang Wang
Shandong University of Science and Technology, Shandong University
Papers
5
Total Citations
61
H-Index
4
About
Chuanjiang Wang is a robotics researcher whose work centers on surgical robotics, mobile robot navigation, and assistive mechanisms. His most significant contribution is an improved weighted gradient projection method for inverse kinematics of redundant surgical manipulators (2021, 24 citations), which addresses the critical need for high-precision end-effector positioning during operations—a challenge distinct from traditional industrial robotics. Wang also advanced mobile robot path planning by integrating genetic algorithms with gene rearrangement techniques (2017, 20 citations), offering a novel solution to complex navigation problems. His analysis of singular configurations in robotic manipulators (2021, 11 citations) provides essential insights for avoiding performance-degrading states, particularly for serial manipulators not meeting the Pieper criterion. Additionally, Wang has contributed to simultaneous localization and mapping (SLAM) through improved grid mapping using Rao-Blackwellized particle filters (2019, 5 citations), and has explored assistive robotics with a kinematic and workspace analysis of a bed-chair robot for elderly and disabled individuals (2025). His work bridges theoretical kinematics with practical applications in surgery, rehabilitation, and autonomous navigation, demonstrating a consistent focus on enhancing robotic precision and safety.
Research Focus
Key Achievements
Top Papers
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- 3Analysis of Singular Configuration of Robotic Manipulators11 citations · 2021
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