Lang Ma
Papers
2
Total Citations
26
H-Index
2
About
Lang Ma is a researcher whose work bridges multi-agent systems and intelligent robotics, with a particular focus on control theory and sensor data processing. Their most impactful contribution, "Cross-dimensional formation control of second-order heterogeneous multi-agent systems" (2022), has garnered 24 citations and addresses a critical challenge in coordinating diverse robotic agents with different dynamics—a key problem in swarm robotics and autonomous systems. This work advances the theoretical foundations for formation control, enabling more robust and scalable multi-robot coordination. Earlier in their career, Ma made a notable algorithmic contribution with "Applications of the Sparse Hough Transform for Laser Data Line Fitting and Segmentation" (2006), which introduced a novel variant of the classic Hough transform optimized for sparse laser rangefinder data. This algorithm demonstrated superior performance in extracting line features from noisy, sparse inputs—a practical breakthrough for mobile robot navigation and mapping. While the earlier paper has fewer citations, its applied significance in robotics perception highlights Ma’s versatility across both theoretical and applied domains, from control systems to computer vision.
Research Focus
Key Achievements
Top Papers
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