About

Ludovico Minati is a pioneering researcher at the intersection of nonlinear dynamics, bio-inspired robotics, and neural interfaces. His work fundamentally explores how chaotic systems and biological principles can be harnessed to create more adaptive and intelligent machines. Minati’s major contributions include developing hierarchical networks of coupled nonlinear oscillators for versatile hexapod locomotion control, a novel approach that generates diverse insect-like gait patterns without traditional programming. His most cited work (80 citations) demonstrates how central and local pattern generators can produce adaptive motor behaviors, while his subsequent research (10 citations) shows that even low-dimensional chaotic systems like Rössler oscillators can synthesize viable gaits. In the realm of brain-machine interfaces, Minati pioneered hybrid control systems combining EOG, EMG, EEG, and head movements (75 citations), and demonstrated the first proof-of-concept for controlling a robot arm using functional MRI signals (16 citations). His recent work explores synchronization of moving chaotic robots and the potential of chaos in analog circuit design, pushing boundaries in unconventional computing. Minati’s research uniquely bridges theoretical nonlinear dynamics with practical robotic applications, offering transformative approaches to locomotion control and human-robot interaction.

Research Focus

Key Achievements

6
H-Index
7
Papers
201
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Versatile Locomotion Control of a Hexapod Robot Using a Hierarchical Network of Nonlinear Oscillator Circuits
80 citations · 2018
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Tokyo Institute of Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, University of Electronic Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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