Xiao Rao
Papers
1
Total Citations
14
H-Index
1
About
Xiao Rao is a prominent researcher in robotics and autonomous systems, with a primary focus on motion planning and multi-robot coordination. Their most cited work introduces a novel two-stage path planning approach for multiple car-like robots, leveraging Pythagorean Hodograph (PH) curves and a modified harmony search algorithm to simultaneously minimize total path length and task completion time while ensuring collision avoidance. This contribution, which has garnered 14 citations, addresses critical challenges in variable motion scenarios and has influenced subsequent developments in efficient, real-time robotic navigation. Rao’s research bridges optimization theory and practical robotics, offering scalable solutions for complex environments. Their work is particularly notable for integrating smooth path generation with swarm intelligence algorithms, advancing the field of multi-agent systems. Through these efforts, Rao has established a foundation for safer and more efficient autonomous vehicle coordination, making their research essential reading for students and engineers working on path planning, robotic swarms, and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1