Tao Lei

Beijing Institute of Technology, Shaanxi University of Science and Technology

Papers

Total Citations

208

H-Index

About

Tao Lei is a pioneering researcher in the fields of robotics and neuromorphic computing, with a focus on developing intelligent systems that bridge biological principles and engineering design. His major contributions include advancing locomotion control for multi-legged robots on challenging terrains, as demonstrated in his highly cited work on stable walking strategies for hexapod wheel-legged robots (118 citations) and speed consensus control for parallel six-wheel-legged robots navigating uneven ground (13 citations). These studies have significantly improved robotic adaptability and efficiency in real-world environments. Notably, Lei introduced the SAM model (77 citations), a unified self-adaptive multicompartmental spiking neuron that integrates working memory—a core cognitive feature of biological brains—into artificial learning systems. This work bridges neuroscience and AI, enabling more sophisticated perception and learning capabilities. With over 200 total citations, Lei’s research has influenced both robotic control theory and neuromorphic computing, earning recognition for its interdisciplinary impact. His achievements highlight a commitment to creating robots that move with biological-like grace and machines that learn with human-like memory, positioning him as a key innovator in intelligent systems design.