Pan Yutian
Papers
1
Total Citations
2
H-Index
1
About
Pan Yutian is a robotics researcher whose work focuses on the kinematics and dynamics of high-speed automation systems, particularly delta robots. His most cited paper, "Joint Space Trajectory Planning of Python-Based Delta Robot" (2015), addresses a critical challenge in industrial robotics: achieving both high-speed and high-precision motion. By integrating kinematic and dynamic constraints into trajectory planning, Pan’s work provides a framework for optimizing robot performance under real-world motor limitations. This contribution is foundational for engineers designing efficient pick-and-place systems in manufacturing. With 2 citations, his research has influenced subsequent studies in robot motion control and trajectory optimization. Pan’s expertise lies at the intersection of computational modeling and practical robotics, offering valuable insights for students and researchers advancing automation technologies. His work underscores the importance of balancing theoretical rigor with application-driven design in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1Joint Space Trajectory Planning of Python - Based Delta Robot2 citations · 2015