Max Robotics — Global Service Robot Directory + US Certification

About

Tizar Rizano’s research lies at the intersection of autonomous navigation, assistive robotics, and real-time control systems, with a particular focus on making intelligent mobility accessible across diverse domains. His most impactful contribution is the DALi (Daily Assistance and Localization) approach, which provides navigation guidance for older adults in complex public spaces—a work that has garnered 72 citations and highlights his commitment to human-centered robotics. Rizano has also advanced competitive autonomous racing through global path planning algorithms that enable real-time, collision-free motion in dynamic environments, demonstrating his ability to tackle high-speed, high-stakes challenges. His vision-based path reconstruction and line tracking systems, cited for their low-cost, high-speed capabilities, have practical applications in both industrial automated guided vehicles and service robots navigating crowded spaces. Notably, Rizano’s work on a smart walking assistant for safe indoor navigation and a robotic vehicle testbench for model-based development underscores his skill in bridging theoretical control models with deployable hardware. With a portfolio that spans from assistive technologies for aging populations to high-performance racing, Rizano exemplifies how robotics can be both socially impactful and technically rigorous.