Xiang-Can Wang

Papers

Total Citations

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About

Dr. Xiang-Can Wang’s research centers on the control and optimization of robotic systems, with a particular emphasis on kinematically redundant robots. His foundational work, “Research on simulation of redundant robot force control” (2007), explores how redundant degrees of freedom can enhance robot performance by optimizing system behavior. Using the gradient projection method, Dr. Wang developed simulation-based approaches to force control, addressing key challenges in robotic manipulation and interaction with environments. This contribution, cited 6 times, provides a theoretical and practical framework for improving the dexterity and adaptability of robots in tasks requiring precise force application. While his citation count reflects a focused, emerging impact, Dr. Wang’s work is notable for bridging classical robotics theory with modern control challenges, offering insights valuable to researchers in automation, manufacturing, and assistive robotics. His research underscores the potential of redundant robots to surpass traditional designs, paving the way for more versatile and intelligent robotic systems. For students and scholars, Dr. Wang’s studies serve as a stepping stone into the nuanced world of robot force control and optimization.