Chuanzhe Suo

Chinese University of Hong Kong, Southeast University

Papers

Total Citations

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About

Chuanzhe Suo is a robotics researcher specializing in autonomous navigation, control systems, and 3D perception. His work bridges the gap between theoretical control algorithms and practical deployment in dynamic, unstructured environments. Suo’s key contributions include the development of a vision-based dynamic controller for car-like mobile robots (CLMR), which integrates speed and steering control without relying on unrealistic full-state assumptions—a critical advancement for real-world autonomous driving. This work has garnered 8 citations. Additionally, Suo introduced LPD-AE, a deep neural network designed to learn compact, latent space representations of large-scale 3D point clouds. This innovation enables efficient place recognition and reconstruction in dynamic environments, addressing a fundamental challenge in autonomous navigation and mapping. With 6 citations, LPD-AE demonstrates Suo’s impact on 3D perception. His research is particularly notable for its practical orientation, focusing on scalable solutions that operate under real-world constraints. Suo’s work is essential reading for students and researchers interested in the intersection of control theory, computer vision, and robotics, offering foundational methods for next-generation autonomous systems.