Lusheng Jiao

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Lusheng Jiao is a robotics researcher whose work focuses on intelligent path planning and motion control for autonomous systems, particularly in competitive robotic environments. His most notable contribution is the development of an improved heuristic RRT* algorithm for soccer robot path planning, published in 2022. This work addresses critical challenges in the RoboCup standard platform league, where robots must navigate dynamic, adversarial environments with speed and precision. Jiao’s innovation enhances the Informed RRT* framework by improving search purposefulness and efficiency, overcoming the common pitfalls of poor initial solution quality and low computational efficiency in traditional sampling-based planners. His algorithm enables soccer robots to generate smoother, more optimal trajectories under real-time constraints, advancing the state of the art in multi-robot coordination and obstacle avoidance. While his most-cited paper has garnered 3 citations to date, the work represents a meaningful step in bridging heuristic optimization with sampling-based planning for time-critical applications. Jiao’s research sits at the intersection of robotics, artificial intelligence, and control theory, with potential extensions to autonomous driving, drone navigation, and industrial automation. His contributions are particularly valuable for students and researchers interested in practical, performance-driven path planning in complex, unstructured environments.