Max Robotics — Global Service Robot Directory + US Certification

About

Amr Suleiman is a pioneering researcher at the intersection of energy-efficient hardware design, machine learning acceleration, and autonomous robotics. His work focuses on developing ultra-low-power integrated circuits and specialized accelerators that bring sophisticated computational intelligence to resource-constrained platforms such as nano drones, wearable devices, and augmented reality systems. Suleiman is perhaps best known for his landmark Navion project, a fully integrated 2-mW visual-inertial odometry (VIO) accelerator that enables real-time autonomous navigation on miniaturized robots — a breakthrough that has garnered over 150 citations and demonstrated that centimeter-scale drones could achieve robust, on-chip state estimation without relying on external computing resources. His broader survey on hardware challenges for machine learning (96 citations) has become an important reference for researchers designing efficient AI systems across sensing and edge-computing applications. Beyond autonomous navigation, Suleiman has advanced the field of embedded computer vision, exploring the energy tradeoffs between classical features like HOG and deep learning-based CNN representations. His algorithm-hardware co-design philosophy — optimizing algorithms and silicon architectures in tandem — has consistently pushed the boundaries of what is achievable under severe power and area constraints, making meaningful autonomous intelligence genuinely portable.