Ruixuan Wei

Papers

Total Citations

H-Index

About

Ruixuan Wei is a pioneering researcher in developmental robotics and bioinspired flight control, whose work bridges the gap between biological intelligence and autonomous systems. His early contributions include the design of fuzzy neural network (FNN) controllers for insect-like flapping-wing micro air vehicles (FMAVs), where he modeled the body dynamics and control mechanics of flying insects to achieve stable hovering flight—a foundational challenge in biomimetic robotics. More recently, Wei has focused on enabling robots to learn from peers’ experiences, a capability fundamental to human development but largely absent in artificial systems. His 2019 paper on "Peers’ Experience Learning for Developmental Robots" proposes frameworks that allow humanoid robots to transfer and adapt knowledge from others, overcoming limitations of isolated learning. While his most-cited works each hold 5 citations, their interdisciplinary impact spans control theory, neural networks, and cognitive robotics. Wei’s research is notable for tackling core challenges in autonomous adaptation, from insect-inspired flight to social learning in robots, making his work essential reading for engineers and cognitive scientists advancing lifelike machine intelligence.