📣🤖 Calling all roboticists! 🤖📣
We’re excited to invite you to submit your work to Robotics: Science and Systems (RSS 2027)! Our first deadline, for Extended Abstract submissions, is December 4th, 2026. Please check the RSS website for the full timeline, including decision, rebuttal, and final submission deadlines.
Please also make sure to check the RSS website for important changes to this year’s review process.
We can’t wait to read the exciting work the robotics community has to share! 🚀 See you in Athens!
https://t.co/6xAxfAtRi2
#RSS #Robotics #RoboticsResearch #CallForPapers
A new article from our team has appeared in Autonomous robotics Journal.
This paper from Lintong Zhang explore localisation in meshes and 3d Pointclouds
Video overview:
https://t.co/eBphYGe1Dy
PROJECT 2: SafeHike - Remote Monitoring of Small Mammals for Conservation and Public Health
• Apply via: main Oxford application
• £21,000 tax-free stipend plus fees
• Deadline: 3 March
Project listing:
https://t.co/kJ5ikX61cZ
PlanarMesh incrementally updates the mesh reconstruction using free-space data and hybrid plane modeling and meshing.
Check out the code to see how it reconstructs complex geometry and flat surfaces simultaneously. Developed by Jiahao Wang:
https://t.co/bdg4P0vlBM
🛠️ Software Release 🛠️
PlanarMesh is a real-time algorithm for minimal LiDAR mesh reconstruction:
https://t.co/kBXhTfYWJa
PlanarMesh directly estimates planar surfaces with high fidelity and data compactness - 10x smaller than SotA methods.
DigiForest researchers from @oxfordrobots demonstrating their mapping technology to students of the Summer School on Forest Ecosystems organised by @m_mokros (@3DForEcoTech ) Sruthi Moorthy (@SalGoTeam)
🚨 HIRING: New Post-Doc Position at @oxfordrobots!
I have a new collaborative project working with @DrStephenMellon to further develop our vision-based ultrasound reconstruction system - called ScanLite. Deadline: 8 Sept 2025
Apply here:
https://t.co/68w2vrR2jG
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: https://t.co/yWnlO9PyZ0
Digiforest website: https://t.co/F7RZrQOxPZ
Last week we did a successful field demo of our work in @digiforest_eu in Forest of Dean - with thanks to @Forest_Research and @ForestryEngland
Short article - video up coming
https://t.co/eeHYdqlTqb
Our mapping device includes 3 synchronised color cameras; TLS scans for ground truth. We have shown that it can be used to evaluate NeRF/Gaussian Splatting in new ways.
Ethan Yifu Tao, Miguel Ángel Muñoz Bañón, Lintong Zhang, Jiahao Wang, Lanke Frank Tarimo Fu, Maurice Fallon.
🚨🚨 New #SLAM#RealityCapture Dataset! 🚨🚨
The Oxford Spires Dataset.
New mapping benchmark in Oxford's famous colleges and Blenheim Palace focusing on high quality reconstruction (#nerf#gaussiansplatting) and colorization.
https://t.co/PGeENpxVeG
#spatialai#oxford
🚨🚨 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:
https://t.co/0wYyE5x9qs
!! PhD Studentships - Please Retweet !!
I have two funded studentships (to start October 25) in @oxfordrobots
Studentship 1 is in the space of multi-sensor mapping and scene understanding. I'm open to projects in scene graphs, neural representations and active mapping.
Haedam Oh (who started his PhD with us this month), will give a presentation on Friday, on LiDAR SLAM, multi-session mapping, and localization approaches in forests.
Session: FrAT8, Room 8, "Mapping II"
paper: https://t.co/LO4K28Shch
Video: https://t.co/7XetPX8hRb
Next week, out team will be presenting 3 papers in #IROS2024!
The works have been developed in the context of the @digiforest_eu EU Project, and address different aspects of localization, registration, and trait estimation in forest environments.
A short thread 🧵
Leonard Freissmuth (who visited us from TUM for 6 months) will present an online system to extract tree traits from LiDAR data. With @StefanLeuteneg1
Session: FrPI6T5, Room 5, "Field Robotics"
Paper: https://t.co/dJWpFoevJI
Video: https://t.co/KmvgMiUTAH