Xiaocheng Liu

Shanghai Jiao Tong University, National University of Defense Technology

Papers

Total Citations

H-Index

About

Xiaocheng Liu is a robotics researcher whose work bridges biomimetic soft robotics and computational geometry for autonomous navigation. His most cited paper, "Design and Modeling of a Biomimetic Wire-driven Soft Robotic Fish" (2019), introduces an innovative soft robotic fish propelled by a silica gel tail controlled by two wires, enabling oscillatory motion through a novel barycenter control mechanism. This work advances the field of soft robotics by demonstrating how bio-inspired designs can achieve efficient underwater locomotion. In parallel, Liu has contributed to spatial reasoning for mobile robots through his 2014 paper on "Incremental Construction of Generalized Voronoi Diagrams on Pointerless Quadtrees," which tackles the challenge of representing environmental topologies in discrete settings—a foundational problem for robot path planning. Though his citation counts are modest (4 and 3 respectively), these papers represent early-stage contributions to two distinct areas: soft robotic actuation and computational geometry for robotics. Liu’s work exemplifies the interdisciplinary nature of modern robotics, combining materials science, control theory, and algorithmic design to solve real-world challenges in locomotion and autonomous navigation.