Menglei Lin
Papers
2
Total Citations
12
H-Index
2
About
Menglei Lin is a robotics researcher whose work focuses on advancing the efficiency and autonomy of mobile and humanoid service robots. A key contribution is the development of a novel under-actuated omnidirectional mobile robot, which employs a special coupling drive system to reduce energy consumption by eliminating the need for a separate steering motor per wheel—a design that challenges conventional, more power-hungry architectures. This work has garnered 7 citations, signaling its relevance to the field of energy-efficient locomotion. In parallel, Lin has made significant strides in robotic motor learning, proposing a systematic framework for arm trajectory planning using Dynamic Movement Primitives (DMPs). By representing motion as a series of differential equations with stable attractor properties, this approach enables humanoid robots to autonomously learn and adapt complex manipulation skills. With 5 citations, this contribution is foundational for researchers aiming to imbue service robots with flexible, human-like motor capabilities. Lin’s research elegantly bridges mechanical design innovation with advanced control algorithms, offering practical solutions for the next generation of intelligent, energy-aware service robots.
Research Focus
Key Achievements
Top Papers
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- 2