Yingke Li
Papers
1
Total Citations
7
H-Index
1
About
Yingke Li is a researcher whose work centers on computational geometry, with a particular focus on collision detection—a fundamental problem in computer graphics, robotics, and computer-aided design. Li’s major contribution lies in developing efficient, exact algorithms for detecting collisions between complex geometric shapes. Their most-cited paper, "Efficient Exact Collision Detection between Ellipsoids and Superquadrics via Closed-form Minkowski Sums" (2019, 7 citations), introduces a novel approach that leverages closed-form Minkowski sums to achieve precise and rapid collision detection between ellipsoids and superquadrics. This work addresses a longstanding challenge in the field, where many existing algorithms rely on approximations or convex polytopes, often sacrificing accuracy for speed. By providing an exact solution, Li’s research enables more reliable simulations and motion planning in robotics and graphics. Though early in their career, Li’s contributions have already been recognized for their potential to improve the efficiency and precision of collision detection systems, making them a promising figure in computational geometry.
Research Focus
Key Achievements
Top Papers
- 1