Yun Chao

Papers

1

Total Citations

2

H-Index

1

About

Yun Chao is a robotics researcher whose work focuses on trajectory planning for industrial robot manipulators, with an emphasis on balancing speed and precision. His most-cited paper, "A Fast Approach for Time Optimal and Smooth Trajectory Planning of Robot Manipulators" (2016, 2 citations), introduces a novel method that generates time-optimal trajectories while ensuring smooth motion through cubic spline interpolation. This approach addresses a critical trade-off in manufacturing: minimizing cycle time for productivity while reducing mechanical vibrations and wear through jerk-limited paths. Chao’s contribution lies in developing a computationally efficient algorithm that achieves both objectives simultaneously, offering practical benefits for high-speed automation tasks. Though his citation count is modest, his work is notable for its direct applicability to industrial robotics, where even small improvements in trajectory efficiency can yield significant gains in throughput and equipment longevity. His research bridges theoretical optimization with real-world constraints, making it valuable for engineers designing robotic cells for assembly, welding, or material handling. Chao’s focus on smooth, time-optimal motion continues to inform advancements in robot control and path planning.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Fast Approach for Time Optimal and Smooth Trajectory Planning of Robot Manipulators
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago