Papers
2
Total Citations
24
H-Index
2
About
Ding Pan is a researcher specializing in industrial robotics and soft robotics, with a focus on optimizing motion efficiency and actuator performance. His major contributions lie in trajectory planning for industrial robots, where he developed a time-optimal approach using particle swarm optimization (PSO) to enhance speed and smoothness in manufacturing processes. This work, published in 2015 with 22 citations, demonstrates his impact on improving robotic efficiency in industrial settings. Additionally, Pan has explored the bending performance of multi-cavity flexible actuators, analyzing key factors that influence their deformation and functionality—a study that, while newer (2020, 2 citations), highlights his expanding interest in soft robotics. His research bridges classical optimization techniques with emerging flexible systems, offering practical solutions for automation and adaptive robotics. Pan’s work is notable for its direct application to real-world manufacturing challenges, making it valuable for students and researchers seeking to advance robotic motion control and actuator design.
Research Focus
Key Achievements
Top Papers
- 1
- 2