Lorenzo Liguori

New York University, Sapienza University of Rome

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About

Lorenzo Liguori is a robotics researcher whose work bridges the frontiers of swarm intelligence and wearable assistive technology. His primary research areas include multi-agent systems, continuum control theory, and the development of intelligent exoskeletons for human mobility assistance. Liguori’s most impactful contribution is his pioneering work on "Mixed Reality Environment and High-Dimensional Continuification Control for Swarm Robotics" (2024, 11 citations), which introduces novel methodologies for controlling large-scale multiagent systems by leveraging macroscopic continuum approximations—a significant theoretical advancement that enables scalable, real-time coordination of robot swarms. In parallel, he has made notable strides in rehabilitation robotics with the "RANK - Robotic Ankle" exoskeleton (2022, 8 citations), designed and rigorously tested on irregular terrains to address the critical gap between laboratory prototypes and real-world usability. His recent work (2024, 3 citations) further advances this field by integrating convolutional and recurrent neural networks for intuitive, data-driven control of ankle exoskeletons, validated through IMU-based gait analysis. Liguori’s research is distinguished by its dual impact: advancing fundamental control theory for swarms while directly improving assistive devices for individuals with mobility impairments.