Weijie Gong

Shenzhen University, Hewlett-Packard (United States)

Papers

Total Citations

H-Index

About

Weijie Gong’s research bridges the gap between biology and engineering, focusing on bio-inspired robotics and flexible automation. His most impactful work explores the turning maneuverability of bionic robotic dolphins, where he systematically studied four control patterns—flapping flippers, swing flippers, head offset, and head-flipper coordination—to enhance aquatic agility. This research, with 19 citations, provides critical insights for improving the performance of underwater robots. Gong also advanced soft robotics through the design of a biomimetic wire-driven robotic fish, featuring a silica gel tail and barycenter control mechanism for efficient oscillatory motion. Beyond aquatic systems, he contributed to industrial automation with the FLAIR (flexible assembly intelligent robot) workcell, a fully data-driven system for assembling odd-shaped components onto printed circuit boards. This work, spanning from 1989 to 2003, integrates computer vision for component inspection and handles diverse boards in arbitrary batch sizes, showcasing his versatility. Gong’s interdisciplinary contributions—from soft robotic propulsion to flexible manufacturing—demonstrate a commitment to solving real-world challenges through innovative, nature-inspired design.