Max Robotics — Global Service Robot Directory + US Certification

About

S. Dormido-Canto has established a distinguished research career at the intersection of mobile robotics, control engineering, and educational technology. Their work centers on developing innovative platforms and control strategies that bridge the gap between theoretical robotics education and real-world implementation. A recurring theme throughout their research is making mobile robotics accessible and practical for engineering students, as demonstrated by their widely adopted teaching platforms, including a multi-agent mobile robotics environment that has garnered 42 citations and an easy-to-use simulator that attracted 36 citations. Beyond pedagogy, Dormido-Canto has made meaningful technical contributions in nonholonomic robot control, developing closed-loop position control strategies that manipulate linear and angular velocities with impressive precision. Their exploration of reinforcement learning for autonomous vehicle positioning reflects a forward-thinking approach to overcoming the limitations of traditional control systems. More recently, their work on spherical robots — both simulated and physical — and cyber-physical system scalability in ROS 2 signals a broadening research scope toward novel robotic morphologies and large-scale multi-agent architectures. With over 240 cumulative citations, their contributions have proven consistently valuable to both the control engineering education community and the broader robotics research landscape.