Max Robotics — Global Service Robot Directory + US Certification

About

Mohammad Hayajneh’s research lies at the intersection of autonomous robotics, multi-robot coordination, and robust control systems, with a focus on enabling affordable, real-world deployments for monitoring and inspection. His major contributions include the design of guidance, navigation, and control (GNC) systems for heterogeneous teams of unmanned ground vehicles and quadrotors, as well as novel control approaches for skid-steer tracked robots and path-following for aerial-ground robot pairs. Notably, his 2022 work on multi-robot GNC systems (18 citations) provides a cost-effective solution for collaborative inspection missions, while his 2017 paper on smartphone-based quadrotor navigation (10 citations) demonstrates accessible, low-cost autonomy. His 2021 studies on variable structure control for tracked robots (8 citations) and robust integrated control for mobile robots (6 citations) further showcase his expertise in energy-efficient, stable motion planning. Hayajneh’s work also addresses practical challenges, such as replacing GPS with virtual indoor localization systems (3 citations, 2022), making robotics experimentation more convenient. With over 48 total citations across his most-cited works, his research is steadily gaining recognition for bridging the gap between theoretical control design and practical, multi-robot field operations.