Shengsong Liu
Papers
2
Total Citations
21
H-Index
2
About
Shengsong Liu is a robotics researcher whose work focuses on modular self-reconfigurable robots and transformable locomotion systems designed for unstructured environments. His most significant contribution is the design, modeling, simulation, and experimental validation of a modular self-reconfigurable robot with enhanced locomotion performances, a study that has garnered 19 citations and laid foundational groundwork for adaptable robotic systems. Liu’s research addresses critical challenges in robotic mobility, particularly through his work on the Transleg robot—a transformable leg-wheel hybrid capable of navigating complex terrains. In a notable 2017 study, he investigated the step-climbing maneuver for Transleg in wheeled mode, demonstrating how the robot can negotiate obstacles like steps that are ubiquitous in real-world environments. This work is essential for advancing robots that can operate in disaster response, exploration, or industrial settings where traditional wheeled or legged designs fall short. By integrating modularity with transformable locomotion, Liu’s research pushes the boundaries of robotic adaptability, offering practical solutions for machines that must traverse unpredictable, obstacle-filled landscapes.
Research Focus
Key Achievements
Top Papers
- 1
- 2Step-climbing maneuver for transleg in the wheeled mode2 citations · 2017