Shouqian Yu
Papers
8
Total Citations
93
H-Index
5
About
Shouqian Yu is a robotics researcher whose work spans legged locomotion, cable-driven manipulators, and embedded control systems. Over nearly two decades of research, Yu has made meaningful contributions to the design, kinematics, and dynamic control of complex robotic systems, accumulating nearly 100 citations across his published works. Yu's most recognized contribution is his 2009 study on tripod gait planning and kinematics analysis for hexapod robots, which has garnered 39 citations and remains a key reference for researchers working on multi-legged locomotion. His early work on ARM-based embedded systems for robot control (2006, 17 citations) demonstrated a practical bridge between advanced microprocessor architectures and real-world robotic applications. A recurring theme in Yu's research is cable-driven robotics, particularly systems that mimic human biomechanics. His investigations into 3-DOF and 7-DOF cable-driven arms explore dynamic modeling, tension distribution, and backstepping control techniques — collectively advancing the state of biologically inspired manipulator design. His hybrid algorithm for kinematic control of redundant robots further highlights his interest in elegant, computationally efficient solutions. Yu's body of work represents a sustained commitment to making robots more capable, human-like, and practically deployable.
Research Focus
Key Achievements
Top Papers
- 1Tripod gaits planning and kinematics analysis of a hexapod robot39 citations · 2009
- 2Development of ARM-based Embedded System for Robot Applications17 citations · 2006
- 3
- 4Kinematic Analysis and Simulation of a 7-DOF Cable-Driven Manipulator8 citations · 2007
- 5
- 6A hybrid algorithm for the kinematic control of redundant robots5 citations · 2005
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