Papers
3
Total Citations
38
H-Index
2
About
Feiyu Ma is pioneering the frontier of underwater robotics, with a focus on locomotion and control for hybrid-driven hexapod robots operating in extreme environments. Their key research areas include motion planning, gait control, and slip regulation for robots that must navigate complex, large-angled underwater structures such as ship hulls, reservoir dams, and bridge piers. Ma’s most cited work, "CPG-based Motion Planning of Hybrid Underwater Hexapod Robot for Wall Climbing and Transition" (2022, 29 citations), addresses a critical gap: enabling robots to transition from horizontal to vertical planes—a feat few underwater legged robots can achieve. Building on this, their 2024 paper on slip-regulated optimal control (7 citations) introduces a novel approach using eight thrusters and six C-shaped legs to enhance stability and safety during routine inspections and repairs. Most recently, Ma has advanced the field by integrating deep reinforcement learning for underwater gait planning (2025, 2 citations), demonstrating a commitment to adaptive, intelligent control. With a growing citation impact, Feiyu Ma’s work is essential for anyone interested in the future of autonomous underwater inspection and maintenance.
Research Focus
Key Achievements
Top Papers
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