Papers
4
Total Citations
33
H-Index
2
About
Mingming Shi is a researcher at the forefront of robotics and intelligent control, with a primary focus on the dynamics, vibration suppression, and trajectory tracking of rigid-flexible manipulators. Their major contributions lie in developing innovative modeling strategies, such as employing the transfer matrix method of multibody systems to analyze and mitigate vibrations in spatial manipulators—a critical challenge for precision operations. Shi has also pioneered the integration of deep reinforcement learning for trajectory tracking control of unmanned aerial vehicles (UAVs) performing tasks inside the EAST fusion reactor, demonstrating a unique blend of robotics and energy research. With over 30 citations across their most cited works, including a 2022 paper on dynamics analysis that has garnered 24 citations, Shi’s research is gaining traction for its practical relevance. Their recent work on efficient dynamics modeling and adaptive control for rigid-flexible manipulators further underscores their commitment to advancing operational performance. Additionally, Shi explores the intersection of image recognition and digital twinning, showcasing a versatility that bridges theoretical modeling with applied technologies. This body of work positions Mingming Shi as an emerging voice in flexible robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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