Chaobo Chen
Papers
3
Total Citations
9
H-Index
2
About
Chaobo Chen is a researcher focused on the control and trajectory planning of bio-inspired and aerial robotic systems. His primary work centers on biomimetic robotic fish, where he addresses the challenge of precise path tracking in complex, disturbance-prone underwater environments. Chen’s major contribution is the application of Active Disturbance Rejection Control (ADRC) to multi-joint robot fish, a method designed to counteract unknown external and internal disturbances, thereby achieving high-quality path following. This work, detailed in his 2019 and 2022 papers, has garnered a combined 8 citations, establishing a foundation for robust underwater robotics. Expanding into aerial systems, Chen has also explored trajectory planning for aerial robotic manipulators—a UAV equipped with a robotic arm—using Hybrid Particle Swarm Optimization (HPSO) to handle dynamic singularities and optimize motion. While his citation counts are modest, his research demonstrates a clear trajectory from theoretical control methods to practical applications in challenging environments, offering valuable insights for students and researchers in underwater robotics and aerial manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Study For Path Following of Robot Fish Based on ADRC4 citations · 2019
- 3