Jiahao Xia
Papers
1
Total Citations
3
H-Index
1
About
Jiahao Xia is a robotics researcher whose work focuses on intelligent motion planning and autonomous navigation in dynamic, adversarial environments. His key research areas include robot obstacle avoidance, simulation-based control systems, and the application of the Robot Operating System (ROS) in real-time robotic tasks. Xia’s most cited work, "Simulation and Implementation of Robot Obstacle Avoidance Algorithm on ROS" (2022), addresses a critical challenge in robotic soccer: preventing collisions during high-speed, competitive play. By modeling obstacles as dynamic, antagonistic, and uncertain entities, he developed an algorithm that enhances a robot’s ability to navigate without disrupting its motion trajectory—crucial for effective ball grasping and defense. This contribution has practical implications for multi-robot coordination and autonomous systems operating in unpredictable settings. With 3 citations, the paper serves as a foundational reference for researchers exploring ROS-based obstacle avoidance in competitive robotics. Xia’s work bridges simulation and real-world implementation, offering a scalable approach to improving robot autonomy in contested spaces. His research continues to inform the development of smarter, more responsive robotic agents for both sport and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1