Jian‐Long Guan

Chongqing University, Huaqiao University

Papers

Total Citations

135

H-Index

About

Jian-Long Guan is a robotics researcher whose work bridges mechanical design and intelligent perception, with a focus on enhancing robot mobility and environmental understanding. He is best known for developing an optional passive/active transformable wheel-legged mobility concept for search and rescue robots (94 citations), a significant contribution that enables robots to dynamically switch between wheeled and legged locomotion to navigate complex, unstructured disaster environments. Guan’s research also extends to cable-driven robots, where he has explored the advantages of low inertia, high accuracy, and low noise in robotic actuation systems (10 citations). More recently, he has ventured into 3D perception, co-authoring a comprehensive survey on graph neural networks in point clouds (31 citations), addressing key challenges in autonomous driving, robotics, and augmented reality. This work highlights his growing impact in the intersection of robotics and deep learning. Guan’s diverse portfolio—from mechanical design to neural network-based perception—demonstrates a commitment to advancing both the hardware and software that enable robots to operate effectively in real-world environments.