Huanxiang Wang

Papers

Total Citations

H-Index

About

Dr. Huanxiang Wang is a rising researcher at the intersection of robotics, motion planning, and 3D environmental perception. Their work focuses on developing safe, risk-aware algorithms for autonomous navigation in complex, cluttered environments. Dr. Wang’s most notable contribution is the pioneering integration of 3D Gaussian Splatting (GS)—a cutting-edge neural rendering technique—into feedback motion planning. In their highly cited 2024 paper, "Risk-Aware Safe Feedback Motion Planning in Gaussian Splatting World," they introduced a novel planner that leverages GS to perceive and model randomly shaped obstacles with unprecedented fidelity. This approach enables robots to compute safe, real-time trajectories while explicitly quantifying and minimizing collision risk, a critical advancement for deploying autonomous systems in unpredictable real-world settings. Though early in their career, Dr. Wang’s work has already garnered attention, with the paper accumulating citations rapidly, signaling its impact on the fields of robotics and computer vision. By bridging the gap between high-fidelity scene representation and provably safe control, Dr. Wang is laying the groundwork for next-generation autonomous navigation that is both perceptually rich and rigorously safe.