Yuting Ng

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About

Yuting Ng is a pioneering researcher in bio-inspired robotics and swarm intelligence, with a focus on collective navigation systems. Their most notable contribution is the development of **Shinerbot**, a groundbreaking robot swarm navigation platform inspired by the emergent schooling behavior of Golden Shiner Fish. Unlike conventional robotic systems that rely on centralized control, GPS, or inter-robot communication, Shinerbot demonstrates how simple, local interactions can produce complex group navigation—a paradigm shift in decentralized robotics. This work, published in 2016, has accumulated **8 citations** and laid the foundation for scalable, low-cost swarm systems. Ng’s research bridges biology and engineering, offering insights into how animals achieve collective movement without explicit coordination, and translating these principles into practical robotic platforms. Their achievements include advancing the field of swarm robotics by reducing hardware and computational requirements, making autonomous navigation more accessible for environmental monitoring, search-and-rescue, and exploration. Ng’s work continues to inspire new approaches to distributed intelligence, positioning them as a key innovator in the intersection of ethology and robotics.