Chuxiao Zeng
Papers
1
Total Citations
19
H-Index
1
About
Chuxiao Zeng is a rising researcher in robotics and computational geometry, whose work addresses the fundamental challenge of generating collision-free trajectories for arbitrarily shaped objects in complex environments. His most-cited paper, "Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes" (2024, 19 citations), introduces a novel framework that leverages implicit swept volume signed distance functions to guarantee continuous safety margins during motion planning. This breakthrough overcomes the limitations of prior approaches that either oversimplified object geometries—sacrificing feasible space—or relied on discrete collision checks that risked missing critical intersections. By enabling rigorous, continuous collision avoidance for non-convex shapes, Zeng’s work has immediate applications in robotic manipulation, autonomous navigation, and manufacturing. His contributions are particularly notable for bridging the gap between theoretical guarantees and practical deployment, offering a mathematically sound yet computationally tractable solution. As a researcher at the forefront of safe motion planning, Zeng is shaping how robots interact with the physical world, making his work essential reading for anyone interested in the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1