Max Robotics — Global Service Robot Directory + US Certification

About

Luigi Iannelli is a researcher whose work sits at the intersection of robotics, autonomous systems, and intelligent control, with particular focus on unmanned aerial vehicles (UAVs), multi-robot coordination, and deep learning-based navigation. His most recognized contribution is the development of **CrazyS**, an open-source Software-in-the-Loop simulation platform that extends the ROS-based RotorS package to model and integrate the Crazyflie 2.0 nano-quadcopter within the Gazebo physics simulation environment. First presented in 2018 and garnering nearly 40 citations, CrazyS has become a valuable tool for researchers seeking to rapidly prototype and validate quadcopter control strategies without hardware risk. A refined version of this work, published in 2019, further consolidated its community adoption. Beyond UAV simulation, Iannelli has expanded his research into deep learning-driven path planning for mobile robots, combining convolutional-recurrent neural networks with classical algorithms like A*, and into formal methods for multi-aerial system coordination, applying Signal Temporal Logic to real-world inspection scenarios such as wind turbines. Together, these contributions reflect a research trajectory that bridges simulation fidelity, machine intelligence, and rigorous task specification — making his work increasingly relevant as autonomous aerial robotics matures toward large-scale deployment.