Xingran Chen
Papers
1
Total Citations
25
H-Index
1
About
Dr. Xingran Chen is a leading researcher in robotics and computational intelligence, with a primary focus on optimal trajectory planning and bio-inspired optimization algorithms. Their most influential work, "Optimal Trajectory Planning for Robotic Manipulators Using Chicken Swarm Optimization" (2016, 25 citations), introduces a novel application of the Chicken Swarm Optimization (CSO) algorithm to solve fundamental challenges in robotic motion. By constructing trajectories using three-order B-spline curves, Dr. Chen demonstrated how swarm intelligence can achieve smoother, more efficient manipulator paths compared to traditional methods. This contribution bridges the gap between nature-inspired computation and practical robotics, offering a scalable framework for industrial automation and autonomous systems. The work has been cited by researchers exploring advanced optimization techniques in robotics, control systems, and artificial intelligence. Dr. Chen’s research continues to influence the development of intelligent motion planning, making them a notable figure in the intersection of bio-inspired algorithms and robotic engineering.
Research Focus
Key Achievements
Top Papers
- 1