Max Robotics — Global Service Robot Directory + US Certification

About

Joarder Kamruzzaman is a researcher whose work sits at the dynamic intersection of robotics, cybersecurity, and computer vision. His most influential contribution, a 2015 survey on search and tracking algorithms for swarms of robots, has garnered an impressive 183 citations, establishing him as a notable voice in multi-robot systems research. This work systematically mapped the landscape of swarm intelligence techniques, providing a foundational reference for researchers designing coordinated robotic search and tracking solutions. Kamruzzaman has also made meaningful contributions to the growing field of robotic cybersecurity, authoring survey work examining recent cyberattacks on robotic systems and their mitigation strategies. This research addresses the increasingly critical challenge of securing robotic platforms that rely on IoT devices, wireless sensor networks, and web interfaces — vulnerabilities that grow more consequential as robotics integrates deeper into everyday infrastructure. Additionally, his 2018 work on efficient RANSAC hypothesis evaluation for RGB-D pose estimation demonstrates technical breadth in 3D perception and computer vision, contributing a statistically grounded approach to improving robot localization accuracy. Across these domains, Kamruzzaman's research reflects a sustained commitment to advancing both the capability and security of intelligent robotic systems.