Chunxin Zheng
Papers
3
Total Citations
18
H-Index
2
About
Chunxin Zheng is an emerging robotics researcher whose work centers on autonomous robot navigation, motion planning, and safety-critical control in complex, real-world environments. His research addresses one of the field's most persistent challenges: enabling robots to navigate reliably through cluttered, unknown 3D spaces while guaranteeing collision-free operation. Zheng's most notable contribution is a trajectory optimization framework that represents robot geometry as semialgebraic sets defined by polynomial inequalities, allowing robots of arbitrary shapes to be accurately modeled during planning. This work, which leverages sums-of-squares programming, has garnered 9 citations since its 2024 publication, reflecting strong early interest from the community. Complementing this, his geometry-aware safety-critical local reactive controller reformulates trajectory tracking as a constrained polynomial optimization problem, earning 7 citations and demonstrating a rigorous mathematical approach to real-time safety enforcement. His most recent contribution, the FRTree planner, introduces a tree-of-free-regions framework specifically designed to handle narrow passages in unknown environments. Together, these works position Zheng as a promising voice in robot autonomy, blending polynomial optimization, formal safety guarantees, and practical navigation into a cohesive and mathematically grounded research vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3