Liting Hu
Papers
1
Total Citations
3
H-Index
1
About
Liting Hu is a researcher whose work focuses on advancing path planning and robotics, particularly in the context of manufacturing and 3D object processing. Her key research area lies in developing efficient algorithms for robotic motion, with a notable emphasis on collision avoidance and constraint-aware planning. Her most-cited paper, "Max orientation coverage: efficient path planning to avoid collisions in the CNC milling of 3D objects" (2020), addresses a critical challenge in computer numerical control (CNC) milling: how to generate paths that respect physical constraints, such as tool orientation limits, to prevent collisions without sacrificing efficiency. This work proposes a novel approach that optimizes coverage while adhering to motion constraints, offering a practical solution for complex 3D object manufacturing. Although her citation count is currently modest (3 citations for this paper), the contribution is significant for its potential to improve automation in precision machining. Hu’s research bridges the gap between theoretical path planning and real-world robotic applications, making her work valuable for students and researchers interested in robotics, manufacturing, and computational geometry. Her focus on constraint-driven optimization highlights a growing need for smarter, safer automation in industry.
Research Focus
Key Achievements
Top Papers
- 1