Yuhan Jiang
Papers
1
Total Citations
5
H-Index
1
About
Yuhan Jiang is a robotics researcher whose work centers on the intersection of computer vision and autonomous manipulation, with a particular focus on humanoid robot control and object grasping. In his most-cited paper, "Kinematics modeling and trajectory planning for NAO robot object grasping based on image analysis" (2017, 5 citations), Jiang developed a novel method that integrates real-time image processing with kinematic modeling, enabling the NAO humanoid robot to autonomously identify, locate, and grasp objects. By applying threshold-based image analysis to guide trajectory planning, his approach bridges the gap between visual perception and physical action—a critical challenge in robotics. While still early in his career, Jiang’s work demonstrates a practical, systems-level approach to making robots more adaptive in unstructured environments. His research contributes to the broader goal of creating robots that can interact intelligently with their surroundings, laying groundwork for future advances in service robotics and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1