200926 COLOQUIO IA sin logos .jpg
200926 COLOQUIO IA sin logos .jpg
AIA_vertical_blanco.png
SMIA-blanco.png

introduction

The Oxford Dictionary defines Artificial Intelligence (AI) as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

AI has aroused widespread interest in the public and private sectors, due to the various technological developments and impacts it has had and continues to have on society. In addition, it is booming from the scientific point of view because of all the disciplines, areas, and techniques that are applied.
 

OBJECTIVE

The National Colloquium in Artificial Intelligence seeks to bring together specialists in the areas that make up AI to give lectures on topics of their specialty. The guests are contacted by the organizing committee. The talks are scheduled for 50 minutes and are mainly addressed to researchers and graduate students.

 

This Colloquium is broadcast once a month, usually on Wednesdays at 12:00 pm on the YouTube links of the organizing institutions.

NEXT session

April 28th, 2021

From SLAM to Spatial A.I.

Abstract:

To enable the next generation of smart robots and devices which can truly interact with their environments, Simultaneous Localisation and Mapping (SLAM) will progressively develop into a general real-time geometric and semantic `Spatial AI' perception capability. I will give
many examples from our work on gradually increasing visual SLAM capability
over he years. However, much research must still be done to achieve true Spatial AI performance. A key issue is how estimation and machine learning components can be used and trained together as we continue to search for the best long-term scene representations to enable intelligent interaction.  Further, to enable the performance and efficiency required by real products, computer vision algorithms must be developed together with the sensors and processors which form full systems, and I will cover research on vision algorithms for
  non-standard visual sensors and graph-based computing architectures.

Participant:

Prof. Andrew Davison Freng
Professor of Robot Vision
Director of the Dyson Robotics Laboratory at Imperial College

Andrew Davison is Professor of Robot Vision and Director of the Dyson
Robotics Laboratory at Imperial College London. His long-term research
focus is on SLAM (Simultaneous Localisation and Mapping) and its
evolution towards general `Spatial AI': computer vision algorithms
which enable robots and other artificial devices to map, localise
within and ultimately understand and interact with the 3D spaces
around them. With his research group and collaborators he has
consistently developed and demonstrated breakthrough systems,
including MonoSLAM, KinectFusion, SLAM++ and CodeSLAM, and recent
prizes include Best Paper at ECCV 2016 and Best Paper Honourable
Mention at CVPR 2018. He has also had strong involvement in taking
this technology into real applications, in particular through his work
with Dyson on the design of the visual mapping system inside the
Dyson 360 Eye robot vacuum cleaner and as co-founder of applied SLAM
start-up SLAMcore. He was elected Fellow of the Royal Academy of
Engineering in 2017.

image.jpg

Moderator:

Enrique Sucar

Date:

Wednesday April 28th - 12:00 hours (Central Time)

Correo blanco.png
Youtube blanco.png