Papers
1
Total Citations
7
H-Index
1
About
Zhenfen Jin is a researcher at the forefront of robotic assembly and computational geometry, with a focus on enabling autonomous construction through precise collision detection. Her key research areas include robotic manipulation, assembly planning, and geometric algorithms for structural components. Jin’s major contribution is the development of polyhedron-bounded collision checks, a method that significantly enhances the safety and efficiency of robotic assembly by allowing robots to accurately navigate and assemble complex structural parts without physical interference. Her most-cited work, "Polyhedron-bounded collision checks for robotic assembly of structural components" (2023, 7 citations), introduces a novel framework that reduces computational overhead while maintaining high accuracy, making it a foundational reference for researchers in construction robotics. This work has been recognized for its practical implications in automating large-scale building processes, where precision is critical. Jin’s research not only advances the field of robotics but also bridges the gap between theoretical geometry and real-world applications, positioning her as an emerging leader in autonomous assembly systems.
Research Focus
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Top Papers
- 1