Weifu Wang

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About

Weifu Wang is a roboticist whose research lies at the intersection of autonomous systems, modular robotics, and algorithmic motion planning. His work is driven by a vision of enabling robots to operate in challenging, unstructured environments—particularly underwater. Wang’s most notable contribution is the "Droplet" system, a low-cost autonomous robotic platform for underwater assembly of mortarless modular structures. This pioneering work, published in 2021 with 7 citations, aims to make large-scale underwater construction—such as building retaining walls and artificial reefs—practical and accessible. By emphasizing a co-design approach, Wang integrates robot hardware, control, and structure design to achieve robust performance in real-world conditions. In parallel, he has advanced the theoretical foundations of motion planning, as seen in his 2021 paper on finding shortest paths for 3D rigid bodies. By deriving optimality conditions using Lagrange multipliers and Pontryagin’s Maximum Principle, Wang provides rigorous tools for navigating complex, high-dimensional configuration spaces. His work bridges practical engineering and deep algorithmic theory, making him a rising figure in autonomous construction and geometric planning.