Max Robotics — Global Service Robot Directory + US Certification

About

Minh Long Hoang is a rising researcher at the intersection of robotics, sensor fusion, and artificial intelligence, with a focus on enabling precise autonomous systems for Industry 4.0 and healthcare. His most cited work introduces the "No Motion No Integration" (NMNI) pre-processing technique, a novel algorithm that significantly enhances gyroscope performance and improves the Madgwick filter for heading estimation without a compass—a critical advancement for monitoring industrial robot arms (16 citations). He has also contributed to the rapidly evolving field of robotic perception, comparing deep learning methods for Simultaneous Localization and Mapping (SLAM) and Visual SLAM to help autonomous systems better navigate and understand their environments (8 citations). Additionally, his work explores the broader application of AI in sensors and computer vision for healthcare and automation, bridging cutting-edge machine learning with practical, real-world solutions (6 citations). Hoang’s research demonstrates a clear trajectory from foundational signal processing to applied deep learning, positioning him as a contributor to the next generation of intelligent, autonomous systems.