Tianlei Ma
Papers
5
Total Citations
97
H-Index
3
About
Tianlei Ma is a robotics researcher whose work bridges adaptive control, bio-inspired navigation, and multi-robot coordination. His primary research areas include impedance control for robotic manipulators, visual odometry for mobile robots in dynamic environments, and neuromodulation-inspired autonomous navigation. Ma’s most impactful contribution is a position/force tracking impedance control scheme that integrates adaptive Jacobian and neural network techniques to handle system uncertainties and external disturbances—a paper that has garnered 42 citations. He has also advanced mobile robot navigation by combining supervised learning in the cerebellum with reward-based learning in the basal ganglia (36 citations), and developed a robust visual odometry method using RGB-D cameras to maintain accuracy in dynamic indoor settings (14 citations). More recently, Ma has explored agricultural robotics, proposing an adaptive multi-objective task splitting algorithm for multi-robot task allocation to improve harvesting efficiency. His work demonstrates a consistent focus on making robots more autonomous, adaptive, and reliable in real-world, uncertain environments.
Research Focus
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