Papers
2
Total Citations
6
H-Index
2
About
Mingquan Shi is a pioneering researcher in humanoid robotics and intelligent fault-tolerant control systems. His work centers on optimizing robotic locomotion and enhancing system reliability through bio-inspired computational methods. Shi's most influential contribution lies in the development of a real-time gait generation framework for humanoid robots, where he introduced three novel energy consumption indexes and derived driving torque formulas using Lagrange dynamics. This approach, published in 2007, established mathematical models for gait optimization that have been cited 3 times, providing foundational solutions for efficient bipedal movement. In parallel, Shi made significant strides in mobile robot safety by designing an Immune Fault Tolerance Controller (IFTC). Mimicking biological immune system mechanisms—including self-learning, memory storage, and immune response—he integrated redundancy and reconfiguration strategies to create a robust fault-tolerant system. This work, also from 2007 with 3 citations, demonstrates his ability to bridge biological principles with engineering challenges. Shi's research offers critical insights for students and engineers working on autonomous systems, particularly in achieving energy-efficient locomotion and ensuring operational reliability in unpredictable environments.
Research Focus
Key Achievements
Top Papers
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