Abstract

Recent advances in AI and computational neuroscience have introduced new concepts, methods and architectures for learning sensory representation and motor control to foster robot capabilities in unstructured environments. Developments in learning models span a wide spectrum of methodologies, embracing deep learning architectures and probabilistic models, and brain-inspired learning frameworks such as spiking neural networks.

Rooted in the intricate neural processes of the human brain, such methodologies bestow robots with the remarkable capacity to learn from experience, discern patterns in sensory data, and execute precise motor responses. Notably, cognitive architectures for motor control extend this exploration into decision-making and action execution, drawing inspiration from human cognition. By providing an organized blueprint for learning and executing motor commands with efficiency and adaptability, these architectures mimic the intricate processes observed in biological systems where sensory information seamlessly translates into precise motor actions.

The core motivation behind this workshop lies in comprehending and replicating these intricate processes, leveraging insights from the evolving field of neuroscience to advance the field of artificial intelligence and robotics. By providing a platform for comprehensive exploration, this workshop aims to contribute to the ongoing discourse on the convergence of AI, neuroscience, and robotics, pushing the boundaries of our understanding of sensory representation and motor control.

Organizers

Egidio Falotico Tenure-track Assistant Professor BRAIR Lab @ The BioRobotics Institute, Sant'Anna School of Advanced Studies, Italy	Elisa Donati Scientific Researcher Neuromorphic Cognitive Systems @ Institute of Neuroscience, University of Zurich and ETHZ, Switzerland	Matej Hoffmann Associate Professor Humanoid and cognitive robotics @ Department of Cybernetics, Czech Technical University in Prague,  Czech Republic

Topics

• Sensory representation
• Motor control
• Artificial Intelligence
• Neuroscience
• Robotics

Invited speakers (confirmed)

• Pablo Lanillos, Spanish National Research Council (CSIC)
• Chiara Bartolozzi, Italian Institute of Technology (IIT)
• Mehdi Khamassi, CNRS
• Yulia Sandamirskaya, Zurich University of Applied Sciences (ZHAW)

Program

The workshop schedule will soon be made available.

Call for Posters and Videos

More details will soon be made available.

The workshop is supported by the IEEE RAS Technical Committee on Cognitive Robotics.