Yi Cheng Chng
Papers
2
Total Citations
11
H-Index
2
About
Yi Cheng Chng is a robotics researcher whose work tackles one of the most pressing challenges in multi-robot systems: maintaining effective communication in large-scale, unstructured environments. His primary research areas span multi-robot exploration, decentralized coordination, and communication-aware planning. Chng’s most notable contribution is the development of **IR² (Implicit Rendezvous for Robotic Exploration Teams)**, a novel framework that enables small robotic teams to share critical information even under sparse and intermittent connectivity. Unlike traditional methods that assume unrealistic global communication, IR² allows robots to implicitly coordinate meeting points, ensuring data fusion without requiring continuous links. This work has garnered significant attention, with his 2024 paper accumulating over 9 citations in its first year—a strong indicator of its impact on the field. Chng’s approach is particularly valuable for time-sensitive missions like search-and-rescue or planetary exploration, where reliable information sharing can mean the difference between success and failure. His research represents a vital step toward practical, real-world deployment of autonomous robot teams in communication-constrained environments.
Research Focus
Key Achievements
Top Papers
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- 2