Papers
4
Total Citations
17
H-Index
2
About
Yizhe Huang is a robotics researcher whose work bridges computational kinematics, dynamic systems, and autonomous navigation. His primary research areas include inverse kinematics optimization, resonance suppression in robotic manipulators, and visual SLAM for mobile robots. Huang’s most impactful contribution is the development of two novel algorithms—Sequential Quadratic Programming (SQP) and Back Propagation-Sequential Quadratic Programming (BP-SQP)—for inverse kinematics analysis of the UR10 robot, offering a computationally efficient alternative to closed-form solutions (9 citations). He also advanced industrial robotics by applying central composite design methodology to suppress end-effector resonance in welding robots, optimizing variables such as excitation source, rod stiffness, and damping (5 citations). In mechanism design, Huang investigated the Stephenson-III spherical mechanism with a spherical slider, contributing to multi-loop spherical mechanisms used in robotic joints and surgical tools. His work on loop closure detection for visual SLAM addresses challenges from perspective, lighting, and dynamic interference, enhancing autonomous positioning accuracy. With a growing citation record, Huang’s research is shaping efficient, stable, and intelligent robotic systems for manufacturing, surgery, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4