Dr Francesco Nori - An overview of Research and Robotics at Google Deepmind

Talk Abstract:

DeepMind is working on some of the world’s most complex and interesting research challenges, with the ultimate goal of solving artificial general intelligence (AGI). We ultimately want to develop an AGI capable of dealing with a variety of environments. A truly general AGI needs to be able to act on the real world and to learn tasks on real robots. Robotics at DeepMind aims at endowing robots with the ability to learn how to perform complex manipulation and locomotion tasks. This talk will give an introduction to DeepMind with specific focus on robotics, control or reinforcement learning.

Biography: 

Francesco Nori is the Director of Robotics at Google DeepMind, where he leads groundbreaking research at the intersection of artificial intelligence and physical robotics. He earned his Ph.D. in Control and Dynamical Systems from the University of Padova in 2005. Prior to joining DeepMind in 2017, he was a key researcher at the Italian Institute of Technology, contributing significantly to the development and whole-body control of the iCub humanoid robot. Today, his team pioneers large-scale machine learning for physical robot control, with major recent achievements including the Gemini Robotics project, the self-improving RoboCat agent, and breakthrough deep reinforcement learning models for bipedal and quadrupedal agility.