Max Robotics — Global Service Robot Directory + US Certification

About

Nak-Myoung Sung is a leading researcher at the intersection of artificial intelligence, edge computing, and smart health systems. His work focuses on deploying deep learning models—particularly for object detection and scene understanding—onto resource-constrained devices like drones, robots, and autonomous vehicles. Sung’s most impactful contribution is his highly cited 2021 paper (133 citations) on harnessing IoT, AI, robotics, and blockchain to tackle COVID-19, demonstrating how connected health technologies can address global crises. He has also advanced real-time 3D object detection for autonomous navigation, benchmarking deep learning detectors on NVIDIA Jetson platforms to enable reliable path planning in robots and drones. His recent work on scene change detection for robotic patrol systems allows surveillance robots to infer risk levels in dynamic environments. Sung’s research consistently bridges the gap between cutting-edge AI algorithms and practical, low-power hardware, making autonomous systems smarter, faster, and more deployable in real-world settings.