Artificial and Mechanical Intelligence | Invited talk: An overview of Research and Robotics at Google DeepMind by Francesco Nori, DeepMind @artificialandmechanicalint7212 | Uploaded February 2023 | Updated October 2024, 1 hour ago.
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.
Bio
Francesco was born in Padova in 1976. He received his D.Eng. degree (highest honors) from the University of Padova (Italy) in 2002. During the year 2002 he was a member of the UCLA Vision Lab as a visiting student under the supervision of Prof. Stefano Soatto, University of California Los Angeles. During this collaboration period he started a research activity in the field of computational vision and human motion tracking. In 2003 Francesco Nori started his Ph.D. under the supervision of Prof. Ruggero Frezza at the University of Padova, Italy. During this period the main topic of his research activity was modular control with special attention on biologically inspired control structures. Francesco Nori received his Ph.D. in Control and Dynamical Systems from the University of Padova (Italy) in 2005. In the year 2006 he moved to the University of Genova and started his PostDoc at the laboratory for integrated advanced robotics (LiraLab), beginning a fruitful collaboration with Prof. Giorgio Metta and Prof. Giulio Sandini. In 2007 Francesco Nori moved to the Italian Institute of technology where in 2015 he was appointed Tenure Track Researcher of the Dynamic and Interaction Control research line. His research interests are currently focused on whole-body motion control exploiting multiple (possibly compliant) contacts. With Giorgio Metta and Lorenzo Natale he is one of the key researchers involved in the iCub development, with specific focus on control and whole-body force regulation exploiting tactile information. Francesco is currently coordinating the H2020-EU project An.Dy (id. 731540); in the past he has been involved in two FP7-EU projects: CoDyCo as coordinator and Koroibot as principal investigator. In 2017 Francesco joined Deepmind where he is collaborating with Raia Hadsell, Nando de Freitas, Martin Riedmiller and Dan Belov. His current interests seamlessly span robotics and artificial intelligence, with applications in both manipulation and locomotion.
#robotics #google #deepmind #ami #iit #artificialintelligence #mechanical #robot #technology #research #agi
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.
Bio
Francesco was born in Padova in 1976. He received his D.Eng. degree (highest honors) from the University of Padova (Italy) in 2002. During the year 2002 he was a member of the UCLA Vision Lab as a visiting student under the supervision of Prof. Stefano Soatto, University of California Los Angeles. During this collaboration period he started a research activity in the field of computational vision and human motion tracking. In 2003 Francesco Nori started his Ph.D. under the supervision of Prof. Ruggero Frezza at the University of Padova, Italy. During this period the main topic of his research activity was modular control with special attention on biologically inspired control structures. Francesco Nori received his Ph.D. in Control and Dynamical Systems from the University of Padova (Italy) in 2005. In the year 2006 he moved to the University of Genova and started his PostDoc at the laboratory for integrated advanced robotics (LiraLab), beginning a fruitful collaboration with Prof. Giorgio Metta and Prof. Giulio Sandini. In 2007 Francesco Nori moved to the Italian Institute of technology where in 2015 he was appointed Tenure Track Researcher of the Dynamic and Interaction Control research line. His research interests are currently focused on whole-body motion control exploiting multiple (possibly compliant) contacts. With Giorgio Metta and Lorenzo Natale he is one of the key researchers involved in the iCub development, with specific focus on control and whole-body force regulation exploiting tactile information. Francesco is currently coordinating the H2020-EU project An.Dy (id. 731540); in the past he has been involved in two FP7-EU projects: CoDyCo as coordinator and Koroibot as principal investigator. In 2017 Francesco joined Deepmind where he is collaborating with Raia Hadsell, Nando de Freitas, Martin Riedmiller and Dan Belov. His current interests seamlessly span robotics and artificial intelligence, with applications in both manipulation and locomotion.
#robotics #google #deepmind #ami #iit #artificialintelligence #mechanical #robot #technology #research #agi
