Ottavia Bettucci
Papers
1
Total Citations
17
H-Index
1
About
Ottavia Bettucci is a pioneering researcher at the intersection of neuromorphic engineering and bioinspired robotics. Her work centers on developing organic, brain-inspired platforms that mimic neural computation and learning, with a particular focus on neurotransmitter-mediated closed-loop control systems. In her landmark 2024 study, Bettucci introduced a microfabricated platform capable of adaptive synaptic potentiation and depression—key mechanisms of biological learning—operating in a closed-loop fashion. This system was integrated with a robotic hand, which autonomously learned to grasp objects of varying sizes through reinforcement learning, a breakthrough that bridges artificial neural networks and physical actuation. With 17 citations already accrued for this seminal paper, her contributions are rapidly gaining recognition for their potential in prosthetics, soft robotics, and intelligent systems. Bettucci’s work exemplifies how organic electronics can enable lifelike, autonomous learning in machines, positioning her as a rising leader in the field of neuromorphic computing and biohybrid robotics.
Research Focus
Key Achievements
Top Papers
- 1