Miguel Kaouk Ng
Papers
8
Total Citations
349
H-Index
8
About
Miguel Kaouk Ng is a roboticist whose research lies at the intersection of autonomous navigation, multi-robot systems, and socially assistive robotics. His most significant contributions are in the domain of **Simultaneous Localization and Mapping (SLAM)** , particularly for multi-robot teams operating under challenging conditions such as unknown initial correspondences and limited communication. He pioneered the use of **Rao-Blackwellized Particle Filters (RBPF)** to cooperatively estimate SLAM posteriors, and his work on **Active SLAM** introduced the Kullback-Leibler divergence as a metric for guiding exploration while minimizing pose uncertainty—a framework that has garnered over 98 citations. His highly cited papers (totaling more than 350 citations) have shaped how robots autonomously explore unknown environments while maintaining accurate localization. Beyond technical SLAM, Kaouk Ng has applied robotics to social good, developing a **cloud-based telepresence system** that enables mobility-impaired individuals to experience museums, and pioneering robotic cognitive rehabilitation therapy for children with traumatic brain injury. His work demonstrates a rare breadth—from foundational multi-robot estimation theory to tangible assistive technologies that improve quality of life.
Research Focus
Key Achievements
Top Papers
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- 7A robotic therapy for children with TBI9 citations · 2013
- 8A robotic therapy for children with TBI8 citations · 2013