Papers
4
Total Citations
17
H-Index
3
About
Caiwen Ma is a leading researcher whose work spans the frontiers of intelligent robotics and deep learning. Dr. Ma’s primary contributions lie in two key areas: the adaptive control of free-floating space robots (FFSRs) and the application of deep learning to 3D point cloud analysis. In the early 2010s, Ma pioneered novel control strategies for FFSRs, which operate in micro-gravity without a fixed base, facing severe dynamic coupling and unmodeled disturbances. By proposing robust fuzzy adaptive controllers with dead-zone compensators, Ma’s work provided critical solutions for stabilizing these complex systems under friction, payload variation, and model uncertainties—foundational achievements for autonomous space operations. More recently, Ma has expanded into deep learning, co-authoring a comprehensive 2025 review on point cloud classification and segmentation, which has already garnered 6 citations. This work synthesizes the state-of-the-art in 3D perception, a vital technology for autonomous navigation and robotic manipulation. With a total of 17 citations across these highly focused studies, Ma’s research demonstrates a clear trajectory from foundational control theory to modern AI-driven perception, marking them as a versatile and impactful contributor to both space robotics and computer vision.
Research Focus
Key Achievements
Top Papers
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