Ruitao Jing

Papers

Total Citations

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About

Ruitao Jing is a researcher specializing in swarm robotics, multi-robot coordination, and bio-inspired navigation in denied environments. His work focuses on enabling autonomous robot teams to operate without external infrastructure such as GNSS, mapping, or central processing—drawing inspiration from animal behaviors like olfaction and audition. His most-cited paper, "OA-Bug: An Olfactory-Auditory Augmented Bug Algorithm for Swarm Robots in a Denied Environment" (2023), introduces a novel algorithm that allows robots to cooperate using only local sensory cues, mimicking how animals use smell and sound to navigate and collaborate. This work has garnered early attention with 3 citations, reflecting its relevance to emerging challenges in search-and-rescue, exploration, and defense robotics. Jing’s contributions are notable for addressing fundamental limitations in swarm autonomy, offering practical solutions for environments where traditional communication and positioning systems fail. His research bridges robotics, bio-inspired computing, and multi-agent systems, positioning him as a promising voice in the field of resilient, decentralized robotic swarms.