Zhongqi Fu

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Zhongqi Fu is a researcher in robotics and manipulation, with a focus on grasp planning and hand-object interaction. His most-cited work, "Grasp planning via hand-object geometric fitting" (2016), has garnered 26 citations, establishing a foundation for efficient robotic grasping by aligning hand geometry with object shapes. This contribution addresses a core challenge in autonomous manipulation: enabling robots to securely and adaptively grasp diverse objects without exhaustive precomputation. Fu’s approach emphasizes geometric fitting, which reduces computational overhead while improving grasp success rates—a key step toward practical, real-time robotic systems in manufacturing, logistics, and assistive technologies. His research bridges theoretical geometry and applied robotics, offering insights into how hand morphology and object features can be algorithmically matched. For students and researchers, Fu’s work exemplifies how targeted geometric reasoning can simplify complex planning problems, making it a valuable reference for those exploring dexterous manipulation, grasp synthesis, or human-robot interaction. His contributions continue to influence subsequent studies in robotic grasping and object handling.