Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
dTub
Скачать

"From SLAM to Spatial AI" - Andrew Davison

Автор: Robotics Today

Загружено: 2020-05-22

Просмотров: 12190

Описание:

From SLAM to Spatial AI: Andrew Davison (Imperial College London)

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 the 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.

Biography: 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.

“Robotics Today - A series of technical talks” is a new virtual robotics seminar series. The goal of the series is to bring the robotics community together during these challenging times.The seminars are scheduled on Fridays at 1PM EDT (10AM PDT) are open to the public. The format of the seminar consists of a technical talk live captioned and streamed via Web (https://roboticstoday.github.io/watch...) and Twitter (@RoboticsSeminar), followed by an interactive discussion between the speaker and a panel of faculty, postdocs, and students that will moderate audience questions.
Please visit our website: https://roboticstoday.github.io for more information as well as Andy's answers to a few questions we didn't get a chance to cover during the talk.

Website: https://roboticstoday.github.io/
Twitter:   / roboticsseminar  
Calendar: https://calendar.google.com/calendar/...

OUTLINE:
0:00:00 Introduction
0:05:00 Andrew's Talk
1:00:22 Panel Discussion
1:23:01 Concluding Remarks

"From SLAM to Spatial AI" - Andrew Davison

Поделиться в:

Доступные форматы для скачивания:

Скачать видео mp4

  • Информация по загрузке:

Скачать аудио mp3

Похожие видео

MIT Robotics - Andrew Davison - From SLAM to Spatial AI

MIT Robotics - Andrew Davison - From SLAM to Spatial AI

"Soft Robots for Humanity" - Allison Okamura

"Recent Progress on Atlas, the World’s Most Dynamic Humanoid Robot" - Scott Kuindersma

Но что такое нейронная сеть? | Глава 1. Глубокое обучение

Но что такое нейронная сеть? | Глава 1. Глубокое обучение

"Skydio Autonomy" - Adam Bry and Hayk Martiros

Внутри полупроводникового завода Micron Taiwan | Мегафабрики Тайваня, эпизод 1

Внутри полупроводникового завода Micron Taiwan | Мегафабрики Тайваня, эпизод 1

"Learning to Communicate in Multi-Agent Systems" - Amanda Prorok

Как производятся микрочипы? 🖥️🛠️ Этапы производства процессоров

Как производятся микрочипы? 🖥️🛠️ Этапы производства процессоров

LLM и GPT - как работают большие языковые модели? Визуальное введение в трансформеры

LLM и GPT - как работают большие языковые модели? Визуальное введение в трансформеры

Planning and Learning Interaction with Variable Impedance - Antonio Bicchi

Planning and Learning Interaction with Variable Impedance - Antonio Bicchi

"Architecting the NASA Mars 2020 Perseverance Rover Sampling and Caching System" - Matthew Robinson

Andrej Karpathy - AI for Full-Self Driving at Tesla

Andrej Karpathy - AI for Full-Self Driving at Tesla

Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs

Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs

Вольфрам Бургард, Джорджио Грисетти и Сирилл Штахнисс: SLAM на основе графов за 20 минут

Вольфрам Бургард, Джорджио Грисетти и Сирилл Штахнисс: SLAM на основе графов за 20 минут

ДНК создал Бог? Самые свежие научные данные о строении. Как работает информация для жизни организмов

ДНК создал Бог? Самые свежие научные данные о строении. Как работает информация для жизни организмов

"Scalable Robot Learning in Rich Environments" - Raia Hadsell

SLAM Robot Mapping - Computerphile

SLAM Robot Mapping - Computerphile

MIT Robotics - Frank Dellaert - Factor Graphs for Perception and Action

MIT Robotics - Frank Dellaert - Factor Graphs for Perception and Action

Маска подсети — пояснения

Маска подсети — пояснения

Deep Visual SLAM Frontends: SuperPoint, SuperGlue, and SuperMaps (#CVPR2020 Invited Talk)

Deep Visual SLAM Frontends: SuperPoint, SuperGlue, and SuperMaps (#CVPR2020 Invited Talk)

© 2025 dtub. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]