Cher-Hiang Goh

DSO National Laboratories, National University of Singapore

Papers

Total Citations

H-Index

About

Cher-Hiang Goh is a researcher whose work sits at the intersection of multiagent systems, computer vision, and human-robot interaction (HRI). His most influential contribution, the 2018 paper "Vision-Based Leader–Follower Formation Control of Multiagents With Visibility Constraints," has garnered 74 citations, establishing him as a key figure in decentralized robotics. In this work, Goh addressed the critical challenge of enabling multiple agents to maintain formation control without inter-agent communication, using only a single Kinect sensor to estimate relative poses and enforce visibility constraints—a practical breakthrough for real-world swarm robotics. Beyond formation control, Goh has explored the frontier of natural HRI through his 2016 paper "Intelligent speech control system for human-robot interaction," which tackled the difficult problem of extracting subjective intent from speech signals to enable more intuitive robot control. While this work has 8 citations, it reflects his broader commitment to making robots more responsive to human nuance. Goh’s research is notable for its pragmatic approach: solving fundamental control and perception problems that directly impact the deployment of autonomous multiagent systems in communication-denied environments, while also pushing toward more natural, speech-driven interfaces for human-robot collaboration.