@Dyson is once again sponsoring @ieee_ras_icra. Pop along to the Dyson stand to learn more about the recently launched Dyson 360 Vis Nav and the research into future household robotics.
@catherineseale @Vaarst @Vaarst this is a great idea to allow your customers to bring their own models 🎉. Do they get access to the imagery to allow them to train them?
Posted my fifth annual review of my dated predictions from Jan 1, 2018, about self driving cars, AI/ML & Robotics, and human spaceflight. They seemed pessimistic back then, but they are standing the test of time. BONUS five new curmudgeonly predictions. https://t.co/YbBDkKby2Q
Excited to announce DayDreamer, an application of learned world models to robot learning without simulators!
DayDreamer enables a robot dog to learn to walk in one hour without resets, simulators, or demonstrations, as well as visual pick and place and navigation tasks
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@Sunxiaoliang52 Unfortunately the talk was not recorded but you can find out how Dyson’s robots navigate in this video https://t.co/KiL9c1Wtmv and more about home robotics https://t.co/818r8VRIvr
Today, at @ieee_ras_icra, Dyson gives a glimpse into the future of household robots for the first time.
From manipulation and robot learning, to visual perception and compliant control…
Intrigued by what you see? Join us https://t.co/SGmB3Sz2e8
#Dyson#Robotics#ICRA2022
Some great news for UK jobs - @dyson are recruiting 250 new robotics engineers to work at their new robotics research centre.
This will be the UK’s largest robotics research centre, with 700 more engineering jobs over the next five years.
https://t.co/5tfeJn9cZk.
@fdellaert thanks for the great talk at ICRA2022. Do you have a link to the GT-Dynamics paper where you integrate leg links and contact points with IMU?
📚A list of great books to learn about MLOps best practices📚
FYI we writing a new article with comprehensive reviews for all the below books so stay tuned
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Coarse-to-fine Q-attention has been selected for an oral at #CVPR2022!🙀
The first *general* 6DoF RL-based manipulation algorithm that can train in the real world in minutes (not days/months). High-res images, and no shaped rewards!
https://t.co/FYPGY4L7BT
https://t.co/E4cWVXb8VY
New: 3D neural fields like NeRF do automatic, unsupervised semantic scene decomposition. We reveal it with tiny interactions. Real-time SOTA room segmentation from 140 clicks; zero prior data! iLabel, Dyson Robotics Lab, @SucarEdgar@Shuaifeng_Zhi et al. https://t.co/k1Jy5pUZQ0