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Fabio Bonsignorio

by   -   September 30, 2016

robot-and-scientist

In general, as any robotics and/or AI PhD student knows very well, replicating the research results of other labs is quite difficult. The information you can customary find in a reputed journal paper is usually not enough to reproduce the experimental results claimed by the authors, let alone to make comparisons of the strengths and weaknesses of the different methods proposed in the literature in term of performances.

In this video lecture Fabio Bonsignorio talks about novel ideas that might just lead to a paradigm change robotics that will allow us to apply robot systems to natural environments, and not just factories where systems are operated and controlled by professionals.

FabioBonsignorio_0Guest talk in the ShanghAI Lectures, 2011-11-03

In this guest lecture, Fabio Bonsignorio from University Carlos III of Madrid, Spain, talks about issues with innovation and robotic startup companies.

Lecture09SlidesFabsShEyesjpg

Lecture 9: Towards a theory of intelligence

This lecture, which I hosted at the the University Carlos III (Madrid, Spain), suggests principles and design guidelines for the development of embodied intelligent systems that are more similar to animal-like intelligence than what has been proposed so far. How to build a self-organizing embodied intelligence?

Lecture 8-II: Education and Industry Session

This lecture hosted by Prof. Samia Nefti-Meziani from the University of Salford, Manchester, UK, is about higher education and industrial impact of the ‘ShanghAI paradigm’. You should not be surprised to see early glimpses of the next industrial revolution enabled by intelligent machines in Manchester – this was the iconic example of industrial city during the very first industrial revolution.

“ITN Marie Curie Network SMART-E: Advanced Robotics for Sustainable Manufacturing in Europe” by  Samia Nefti-Meziani

Lecture 8-I: Ontogenetic development: From locomotion to cognition

8ILecture08SlidesFabVS

In this lecture, hosted at the University Carlos III of Madrid in Spain, I show how it is possible to ground ‘understanding’ on data streams coming from the physical interaction of an agent in the environment, and discuss the many open issues that remain. For example, setting information theory in an embodied framework is challenging, but the road ahead looks promising. So, what’s the link between locomotion to cognition? Is there one?

by   -   March 3, 2014

This week we publish the seventh of the ShanghAI Lectures 2013 Edition on Robohub. You can learn more about the ShanghAI lectures here.

Lecture 7 – Design principles of intelligent systems

Lecture07SlidesFabShortsucfailjpgThis lecture, which I hosted at the University Carlos III of Madrid, Spain, looks at the foundational issues and the successes and failures of AI from a critical perspective.

by   -   January 21, 2014

ShanghAIGlobeColorThis week we publish the second of the ShanghAI Lectures 2013 Edition on Robohub — we will release a new lecture from this series every Monday until the series is complete. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here.

Lecture 2 – Embodied Intelligence

“Evolution embodies information in every part of every organism. This information doesn’t have to be copied into the brain at all. It doesn’t have to be “represented” in “data structures” in the nervous system. It can be exploited by the nervous system, however, which is designed to rely on, or exploit, the information in the hormonal systems just as it is designed to rely on, or exploit, the information embodied in your limbs and eyes.” – D.Dennett, Kind of Minds, 1996

by   -   January 13, 2014

ShanghAIGlobeColor

This week marks the launch of the ShanghAI Lectures 2013 Edition on Robohub — we will release a new lecture from this series every Monday until the series is complete. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here.

Lecture 1 – Intelligence: Things can be seen differently

If you are not interested in precisely predicting the motion of a handful of ‘anomalous’ stars (nowadays known as planets), then there is no reason to assume that the earth is not sitting at the center of the universe. Ptolemaic astronomy was good astronomy, after all. And if you were an astronomer of the XVI century you may have had good reason to think that ‘solving astronomy’ was simply a matter of adding the ‘right’ epicycles ;-). Many did. Why worry about just five stars that do not model correctly when there are several thousand stars that are perfectly predictable?



Using Natural Language in Human-Robot Collaboration
November 11, 2019


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