Jiali Xi
Papers
1
Total Citations
95
H-Index
1
About
Jiali Xi has made significant contributions to the field of robotics, with a primary focus on solving the complex problem of inverse kinematics for general robots. Their most-cited work, "A General Robot Inverse Kinematics Solution Method Based on Improved PSO Algorithm" (2021, 95 citations), addresses a critical challenge: robots whose geometric structures do not satisfy the Pieper criterion cannot be solved using traditional closed-form methods, while numerical approaches are often computationally expensive and fail at singular positions. Xi’s innovative application of an improved Particle Swarm Optimization (PSO) algorithm provides an efficient, accurate, and singularity-robust solution for these general robots. This work has been highly influential, serving as a key reference for researchers tackling inverse kinematics in non-standard robotic architectures. By bridging the gap between analytical and numerical methods, Xi has advanced the practical deployment of robots in complex, real-world environments. Their research continues to inspire new approaches in robotic motion planning and optimization, making them a notable figure in the robotics community.
Research Focus
Key Achievements
Top Papers
- 1