Yongji Yu
Papers
2
Total Citations
9
H-Index
2
About
Yongji Yu is a robotics researcher whose work centers on innovative mechanical design and intelligent motion planning for mobile and humanoid robots. His most impactful contribution, the 2019 paper on a "New-Style Under-Actuated Omnidirectional Mobile Robot," introduces a special coupling drive system that reduces energy consumption by eliminating the need for separate steering motors on each wheel—a key advancement in efficient omnidirectional locomotion. This work has garnered 7 citations, reflecting its relevance to energy-saving robotic platforms. In complementary research, Yu addresses autonomous manipulation in his 2018 study on "Target Grasping and Obstacle Avoidance Motion Planning of Humanoid Robot," where he developed obstacle avoidance algorithms for robotic arms using the Robot Operating System (ROS) and URDF models. This work, with 2 citations, demonstrates his ability to integrate hardware design with software-based planning for service robots. Yu’s research bridges mechanical innovation and practical autonomy, positioning him as a contributor to more efficient, intelligent robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Target Grasping and Obstacle Avoidance Motion Planning of Humanoid Robot2 citations · 2018