Ruifeng Meng
Papers
2
Total Citations
15
H-Index
2
About
Ruifeng Meng is a robotics researcher whose work focuses on enabling mobile robots to navigate complex, unstructured environments with greater autonomy and agility. His primary research areas include omnidirectional locomotion, heterogeneous sensing systems, and integrated path planning for obstacle-overcoming robots. Meng’s major contribution lies in the design and experimental validation of a novel deformable wheeled robot that combines an omnidirectional chassis with a heterogeneous sensor suite, allowing it to traverse both urban and factory settings while overcoming physical obstacles. This work, published in 2022, has garnered 11 citations for its practical approach to blending mechanical innovation with real-world sensing. Building on this, Meng developed a multi-modal path planning (MMP) algorithm that fuses a 3-D A-star path planner with a dynamic window approach (DWA) for obstacle avoidance, enabling robots to switch between optimal and greedy strategies in real time. This 2023 paper, with 4 citations, demonstrates his ability to bridge theory and application. Meng’s research is particularly notable for its emphasis on practical, deployable solutions—his robots are designed not just for labs but for factories and cities, making his work highly relevant for students and engineers interested in field robotics, autonomous navigation, and the next generation of mobile manipulation.
Research Focus
Key Achievements
Top Papers
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- 2