Papers
8
Total Citations
203
H-Index
5
About
Francesco Donnarumma is a leading researcher at the intersection of computational neuroscience, cognitive science, and robotics. His work centers on understanding how the brain controls action and communicates through movement, with a particular focus on sensorimotor communication and active inference. Donnarumma’s most influential contribution is his 2018 paper “The body talks: Sensorimotor communication and its brain and kinematic signatures,” which has garnered 136 citations and fundamentally shaped how researchers view nonverbal coordination during joint actions. He has also made significant strides in computational modeling, notably through his work on programmable neural network architectures for multi-task learning and continuous-time active inference frameworks for motor control. His research bridges theoretical models of mindreading and intentional stance with practical robotic implementations, demonstrating how biological principles can inform artificial systems. Donnarumma’s work is essential reading for anyone interested in how brains and robots alike can learn, communicate, and coordinate through action, offering deep insights into the computational foundations of social interaction and motor behavior.
Research Focus
Key Achievements
Top Papers
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- 3Modeling Motor Control in Continuous Time Active Inference: A Survey14 citations · 2023
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- 8Modeling motor control in continuous-time Active Inference: a survey3 citations · 2023