Papers
5
Total Citations
66
H-Index
3
About
Yuheng Zhi is a robotics researcher whose work centers on safety-critical motion planning and collision detection for autonomous systems operating in complex, real-world environments. Zhi’s primary contributions lie in developing computationally efficient, differentiable proxy collision-checking frameworks that enable trajectory optimization to explicitly reason about safety constraints. Their most influential work, “DiffCo” (2022, 35 citations), introduces an auto-differentiable collision detection method that handles multiclass labels, allowing robots to distinguish between different obstacle types during planning—a crucial capability for non-homogeneous environments. This approach bridges the gap between traditional binary collision checks and the nuanced safety requirements of real-world deployment. Zhi has also advanced scalable collision checking through configuration space decomposition (17 citations), reducing computational bottlenecks in high-dimensional planning. Notably, their 2023 work on biomechanically safe trajectories for robot manipulation during search and rescue (9 citations) addresses the unique challenge of repositioning human casualties without causing injury. Earlier research on augmented reality predictive displays for telesurgery (2019) demonstrates Zhi’s broader interest in human-robot interaction under latency constraints. Collectively, Zhi’s work pushes toward robots that can plan and act safely alongside humans in unstructured, dynamic settings.
Research Focus
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