Papers
8
Total Citations
65
H-Index
4
About
Shumin Ma is a leading researcher in the field of bio-inspired underwater robotics, with a primary focus on the design, modeling, and control of manta ray robots. Her work bridges the gap between biological locomotion and robotic engineering, aiming to create highly maneuverable and efficient underwater vehicles. Ma’s major contributions include the development of a similarity evaluation rule using Dynamic Time Warping (DTW) to optimize motion posture, and the application of S-plane control for precise depth and heading regulation. She has also pioneered the use of Central Pattern Generator (CPG) networks, optimized via Particle Swarm Optimization (PSO) and NSGA-II, to replicate natural swimming gaits. Her research on gliding and flapping propulsion, as well as dynamic modeling for landing control using Tube-MPC, has further advanced the field. With over 65 citations across her most-cited works, Ma’s impact is evident. Notably, her 2022 paper on similarity evaluation has garnered 26 citations, underscoring its significance. Her work on T-S fuzzy neural network control and model-free path tracking demonstrates her commitment to practical, mission-oriented applications, making her a key figure in the evolution of agile, bio-inspired underwater robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Depth and Heading Control of a Manta Robot Based on S-Plane Control14 citations · 2022
- 3Parameter Optimization of CPG Network Based on PSO for Manta Ray Robot8 citations · 2022
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- 7Control of Robotic Manta Based on T-S Fuzzy Neural Network2 citations · 2022
- 8A Path Tracking Method and Validation Experiment for Robotic Manta1 citations · 2024