Papers
1
Total Citations
3
H-Index
1
About
Yuhang Han is a researcher focused on advancing robotic motion control through intelligent optimization algorithms. Their work primarily addresses the kinematic challenges of flexible manipulators in industrial automation, with a key contribution being the innovative introduction of a seventh joint to enhance solution speed and precision. Han’s research leverages swarm intelligence optimization to refine motion control strategies, as demonstrated in their 2023 study on flexible manipulator kinematics using the D-H parameter model. This work, which has garnered 3 citations, offers a practical pathway for faster, more efficient robotic arm operations in dynamic industrial environments. By integrating bio-inspired optimization with mechanical design, Han contributes to the evolution of adaptive robotics, enabling more responsive and dexterous automation systems. Their findings hold promise for applications requiring high-speed, precise manipulation, positioning Han as an emerging voice in the intersection of robotics, optimization, and industrial engineering.
Research Focus
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Top Papers
- 1