Papers
1
Total Citations
6
H-Index
1
About
Sheng Wu is a researcher in robotics and dynamics systems, with a focus on inverse kinematics and motion control for mobile robots. Their most notable contribution is the development of an inverse-free solution to the inverse kinematics problem for two-wheeled mobile robot systems (TWMRS), published in 2016. By employing a gradient dynamics (GD) method, Wu circumvented the computationally expensive Jacobian inversion required by conventional pseudo-inverse approaches, achieving a solution that minimizes the two-norm tracking error. This work, cited 6 times, addresses a fundamental challenge in real-time robot control, enhancing efficiency and stability in applications like autonomous navigation. While their citation count reflects a niche but impactful contribution, Wu’s approach has been recognized for its practical utility in robotics, offering a streamlined alternative for systems where computational resources are limited. Their research bridges theoretical dynamics and applied robotics, making it relevant for students and engineers working on mobile robot kinematics and control optimization.
Research Focus
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Top Papers
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