Max Robotics — Global Service Robot Directory + US Certification

About

Oussama El Hamzaoui is a pioneering researcher in the field of robotics, specializing in Simultaneous Localization and Mapping (SLAM) and autonomous navigation. His most significant contribution is the development of **tinySLAM**, a groundbreaking Laser-SLAM algorithm implemented in fewer than 200 lines of C-language code, which demonstrated that high-performance mapping and localization could be achieved with remarkable simplicity and efficiency. This work, published in 2010 and cited 85 times, has become a foundational reference for researchers seeking lightweight, accessible SLAM solutions. El Hamzaoui further advanced this concept with **tinySLAM 1.1**, introducing parallel localization loops to enhance robustness. His research also includes innovations in scan matching using Streaming SIMD Extensions for faster grid-based laser SLAM, and a novel safe navigation system for indoor environments that employs a distance-based potential field method to keep robots at a safe distance from obstacles. Through his work on CoreSLAM and autonomous mapping, El Hamzaoui has made lasting contributions to making SLAM algorithms more practical, efficient, and deployable on resource-constrained robotic platforms.