Nong Xiao

National University of Defense Technology

Papers

Total Citations

H-Index

About

Nong Xiao is a robotics researcher whose work centers on motion planning and swarm robotics. His most-cited paper, "SARRT: A structure-aware RRT-based approach for 2D path planning" (2015, 4 citations), addresses a fundamental challenge in robotics: enabling efficient navigation in complex environments. By enhancing the Rapidly-exploring Random Tree (RRT) algorithm with structural awareness, Xiao improved path planning for robots operating under tight constraints, a critical advance for autonomous systems requiring real-time decision-making. His second notable work, "GSDF: A Generic Development Framework for Swarm Robotics" (2017, 2 citations), provides a modular platform for designing and testing multi-robot systems, simplifying the transition from simulation to deployment. Though early in his career, Xiao's contributions demonstrate a clear focus on practical, scalable solutions—from single-robot pathfinding to collective swarm behaviors. His research bridges theoretical algorithms and real-world robotics, offering tools that reduce development complexity while enhancing performance. For students and researchers, Xiao's work exemplifies how targeted algorithmic refinements and robust frameworks can drive progress in autonomous navigation and cooperative robotics.