Claudia Lubrano
Papers
1
Total Citations
17
H-Index
1
About
Claudia Lubrano is a pioneering researcher at the intersection of neuromorphic engineering and bio-inspired robotics. Her work centers on developing organic, brain-inspired platforms that integrate neurotransmitter-based signaling with closed-loop control, actuation, and reinforcement learning. In her landmark 2024 study, she introduced a microfabricated system capable of adaptive synaptic potentiation and depression—mimicking biological learning processes in real time. This platform was successfully interfaced with a robotic hand, which autonomously learned to grasp objects of varying sizes through reinforcement, without external programming. With 17 citations already, this work has quickly become a touchstone in the field, demonstrating how organic electronics can bridge the gap between artificial neural networks and physical actuation. Lubrano’s contributions are reshaping our understanding of embodied intelligence, offering a tangible path toward autonomous, self-learning robotic systems. Her research not only advances neuromorphic computing but also opens new avenues for prosthetics, soft robotics, and adaptive human-machine interfaces, marking her as a rising leader in next-generation intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1