Augustine Koh
Papers
1
Total Citations
9
H-Index
1
About
Augustine Koh is a researcher at the forefront of embedded systems and real-time robotics, with a focus on leveraging GPU-accelerated platforms for intelligent, autonomous applications. His most influential work, "Real-Time System-Level Implementation of a Telepresence Robot Using an Embedded GPU Platform" (2016, 9 citations), demonstrates a pioneering integration of an NVIDIA Jetson embedded GPU to achieve real-time, attention-directed control in a portable telepresence robot. This contribution showcases his ability to bridge high-performance computing with practical, low-power robotics, addressing critical challenges in latency and computational efficiency. Koh’s research is particularly notable for its system-level approach, combining hardware acceleration with intelligent control algorithms to enable responsive human-robot interaction. His work has laid foundational groundwork for subsequent advances in embedded AI and telepresence systems, inspiring further exploration into real-time, on-device intelligence. As a researcher, Koh exemplifies the synthesis of hardware and software innovation, making significant strides toward more capable, autonomous robotic platforms that operate reliably in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1