Duc Trong Tran
Sungkyunkwan University, Samsung (South Korea), Loma Linda University
Papers
13
Total Citations
220
H-Index
8
About
Duc Trong Tran is a leading figure in the field of bio-inspired robotics, with a primary focus on quadruped locomotion and climbing robots. His research centers on developing robust control systems that enable legged robots to traverse complex, unstructured environments—from rough terrain to vertical walls. Tran’s major contributions include pioneering work on Central Pattern Generator (CPG)-based reflexive control using recurrent neural networks, which allows for stable, adaptive gait generation. He also introduced a novel wall-climbing system that employs an impeller and two-layer suction seals for reliable adhesion on non-smooth surfaces. His most cited paper, "Sensing and gait planning of quadruped walking and climbing robot for traversing in complex environment" (40 citations), along with his work on body movement for improving traversability (30 citations), has significantly advanced the practical deployment of quadruped robots. Tran is also the developer of the AiDIN-III quadruped robot, which integrates biologically inspired kinematic analysis. With over 200 total citations across his top ten papers, his research has laid critical groundwork for autonomous legged systems in inspection, search-and-rescue, and exploration applications.
Research Focus
Key Achievements
Top Papers
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- 4Development of wall climbing robotic system for inspection purpose30 citations · 2008
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