Maurice Fallon

164 posts

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Maurice Fallon

Maurice Fallon

@MauriceFallon

Professor of Robotics at University of Oxford. I mostly tweet as @dynamicrobots, my research group. European. Irish. Iarmhí Abú!

Oxford, England Katılım Haziran 2012
12 Takip Edilen1.1K Takipçiler
Maurice Fallon retweetledi
Oxford Dynamic Robot Systems
Oxford Dynamic Robot Systems@dynamicrobots·
🛠️ Software Release 🛠️ PlanarMesh is a real-time algorithm for minimal LiDAR mesh reconstruction: github.com/ori-drs/planar… PlanarMesh directly estimates planar surfaces with high fidelity and data compactness - 10x smaller than SotA methods.
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Maurice Fallon retweetledi
Autonomous Intelligent Machines & Systems @Oxford
The CDT in Autonomous Intelligent Machines & Systems is part of the TechExpert pilot offering stipends of £31,000 for students eligible for home fee status. Join us and help grow the UK’s national capability in Autonomous Intelligent Machines & Systems. aims.robots.ox.ac.uk/study
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Maurice Fallon
Maurice Fallon@MauriceFallon·
The candidate has the opportunity to interact with other groups in ORI as well as our collaborators in Seoul National University, ETH Zurich, Georgia Tech, Hilti and elsewhere on some very exciting projects. My research group: dynamic.robots.ox.ac.uk
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Maurice Fallon
Maurice Fallon@MauriceFallon·
🚨 HIRING: New Post-Doc Position on 3D Reconstruction and Mapping! 🕒 Deadline: 27 Nov 2025 📚 Duration: 2 year role 📍 Location: Oxford, UK Focus areas: visual SLAM, semantic segmentation, NeRF/3DGS but also legged robots Apply here: eng.ox.ac.uk/jobs/job-detai…
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Maurice Fallon
Maurice Fallon@MauriceFallon·
@AjdDavison It is Meta’s slam running on meta’s data from its own hardware. Heavily optimised by maybe 20 people. It’s really only okvis and openvins that are comparable. Openvins does pretty well from my experiments. The other systems are mono - so incomparable.
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Andrew Davison
Andrew Davison@AjdDavison·
Commercial SLAM is al running on much less power, with custom chips and sensors. The details are confidential but I assume the methods are not far from "traditional" sparse SLAM probabilistic solvers/filters, just with billions spent to engineer them to incredible performance.
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New College, Oxford
New College, Oxford@NewCollegeOx·
We had a visit from @oxfordrobots this morning! Reglisse was particularly intrigued at the four-legged competition 🐕🦾
New College, Oxford tweet mediaNew College, Oxford tweet media
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Gabriele Berton
Gabriele Berton@gabriberton·
Really cool to see this paper on visual localization that with MegaLoc achieves results close to (or even better in some case!) using the ground truth pose A huge leap forward And these are super challenging night images too
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Maurice Fallon
Maurice Fallon@MauriceFallon·
It was fantastic to work with Juan Suarez of @ForestryComm in @digiforest_eu. Our team has been working with European partners to develop robot & sensing tech to digitise forests quickly & accurately. Papers: lnkd.in/eFZiJPvi Digiforest website: digiforest.eu
University of Oxford@UniofOxford

🌍 | Oxford researchers are using robotics to transform sustainable forest management practices in the pioneering DigiForest project, joining a wider @HorizonEU team with partners across Europe @digiforest_eu. #OxfordClimate | @dynamicrobots | @oxfordrobots | @oxengsci

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Maurice Fallon
Maurice Fallon@MauriceFallon·
@AjdDavison @AjdDavison - an actual slide from the 3rd year introductory vision course. I think AZ or DWM would have made it. LOL
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Maurice Fallon
Maurice Fallon@MauriceFallon·
Program involves 1 yr of training at Uni. of Manchester before moving to Oxford, Glasgow, or Manchester for Yr2-4. Positions will mostly for students from UK and Ireland (🇮🇪!). A fraction can fund internationals students (~30%). Full details on RAINZ: rainz-cdt.ac.uk
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Maurice Fallon
Maurice Fallon@MauriceFallon·
🚨🚨 Last Reminder: 17 Funded Robotics PhD Positions! 🚨🚨 In the new RAINZ PhD training programme. The deadline for application is 11th February 2025. We have four RAINZ positions at the Oxford Robotics Institute. Details here: ori.ox.ac.uk/rainz
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