Longteng Hu

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Longteng Hu is a robotics researcher focused on enhancing the mobility and autonomy of wheeled and wheel-leg robots in unstructured, challenging environments. His work centers on terrain perception, attitude control, and novel mechanical design for improved traversal over deformable and uneven surfaces. Hu’s most cited paper, “Sound-Based Terrain Classification for Multi-modal Wheel-Leg Robots” (2022, 5 citations), pioneers the use of acoustic signals for real-time terrain identification, a critical capability for autonomous navigation. In “Attitude Control of an All-Wheel-Drive Rover with Integrated Active Suspension System” (2023, 4 citations), he addresses the challenge of maintaining stability on rocky terrain through active suspension, significantly enhancing pose control. His earlier work, “Improved Rover Mobility Over Loose Deformable Slopes through Active Control of Body-Rotating Mechanism” (2021, 3 citations), introduces a novel body-rotating mechanism to shift the center of mass, markedly improving slope climbing on sand. Together, these contributions advance the reliability and adaptability of mobile robots for planetary exploration, search-and-rescue, and off-road applications, establishing Hu as an emerging leader in field robotics.