Bokai Zhang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Bokai Zhang is a leading researcher in robotics and automation, with a primary focus on optimal trajectory planning for industrial manipulators. His work addresses a critical gap in the field: the impact of interpolation function selection on motion performance. In his highly cited 2024 paper, "Time–jerk optimal trajectory planning for industrial robots with coupled interpolation function selection," Dr. Zhang introduced a novel framework that integrates interpolation function choice directly into the optimization process, rather than treating it as a predefined input. This breakthrough allows for simultaneous minimization of both execution time and joint jerk, leading to smoother, faster, and more energy-efficient robot motions. With 8 citations in under a year, this work has quickly become a key reference for researchers seeking to enhance industrial robot productivity and longevity. Dr. Zhang's contributions are particularly valuable for applications requiring high-speed precision, such as assembly and machining, where traditional trajectory planning often falls short. His research is paving the way for more intelligent and adaptive robotic systems in modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1