Max Robotics — Global Service Robot Directory + US Certification

About

New Jersey Institute of Technology (NJIT) has established itself as a dynamic research university with remarkable breadth across robotics, automation, artificial intelligence, and advanced materials. Its faculty and researchers have made lasting contributions that span foundational theory and cutting-edge application, attracting significant attention from both academia and industry. Among NJIT's most celebrated contributions is pioneering work in hard-magnetic soft materials and ferromagnetic domain printing, with a landmark 2018 paper accumulating over 2,100 citations — a testament to its transformative impact on the field of soft robotics and shape-morphing systems. Complementing this, research into the mechanics of hard-magnetic soft materials has further solidified NJIT's role in advancing untethered, programmable robotic structures. The institute has deep roots in discrete event systems and intelligent manufacturing, particularly through its extensive work on Petri net modeling, which has profoundly influenced semiconductor fabrication scheduling, flexible manufacturing systems, and cluster tool optimization. These contributions, dating back to the early 1990s and continuing through recent decades, have generated hundreds of citations and remain standard references in the field. NJIT researchers have also advanced multi-robot patrolling strategies, RFID-based indoor localization, and real-time machine learning for IoT systems, reflecting a strong commitment to intelligent autonomous systems. Work on rehabilitation robotics and virtual reality-based motor training underscores the university's human-centric approach, while recent research on exoskeleton assistance via simulation-based learning and Industry 5.0 human-cyber-physical systems positions NJIT at the frontier of collaborative and assistive robotics. For prospective students and collaborators, NJIT offers a vibrant, interdisciplinary environment where rigorous engineering science meets real-world impact across robotics, smart manufacturing, and intelligent systems.