Max Robotics — Global Service Robot Directory + US Certification

About

M. V. Marquezini is a leading researcher in intelligent robotics and human–robot collaboration, with a focus on enabling safe, efficient, and resource-aware autonomous systems. Their work bridges deep learning, computer vision, and embedded systems to tackle real-world industrial challenges. Marquezini’s most cited paper, “FCN-Pose” (2022, 20 citations), introduces a pruned and quantized convolutional neural network for robot pose estimation on constrained IoT devices, addressing critical limitations in processor, RAM, and storage. This contribution is pivotal for deploying deep learning in resource-limited environments. Marquezini also advanced safety in human–robot collaboration through novel deep and machine learning techniques for collision detection and movement prediction, as evidenced in papers with 15 and 13 citations each. Their applied work includes gripper design and robot-driven maintenance systems for radio base stations, demonstrating a commitment to translating research into practical automation solutions. With over 70 total citations, Marquezini’s impact lies in making intelligent robotics both safer and more accessible for constrained, real-world settings.