Next: We are presenting at #ICRA2024 SpectralGV: a registration-free ptcloud re-ranking for realtime lidar metric localization. Led by @KavishaVid collaboration between EmbodiedAI cluster at @CSIRORobotics and @QUT
Paper: https://t.co/TVC5v5N45B
Code: https://t.co/nR3jfEwr1B
📢📢📢 𝐁𝐀𝐍𝐅: 𝐁𝐚𝐧𝐝-𝐥𝐢𝐦𝐢𝐭𝐞𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐅𝐢𝐞𝐥𝐝𝐬 𝐟𝐨𝐫 𝐋𝐞𝐯𝐞𝐥𝐬 𝐨𝐟 𝐃𝐞𝐭𝐚𝐢𝐥 𝐑𝐞𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 lead by Ahan Shabanov (@ahan_sh) at #CVPR2024
Wonder how to get frequency control in neural fields?
This is for you: https://t.co/Gb1YyJWJTI
📢A new learning-based approach to SfM: #ACEZero
No img-to-img matching, optimises image-to-scene correspondences directly. Needs no pose priors. Works on unordered image sets. Efficiently handles thousands of images.
Paper: https://t.co/Zc83YpoXpY
Page: https://t.co/kutgb81eFV
We introduce a system for fine-grained robotic manipulation! 🤖
What’s new?
* We can control cheap robots to do surprisingly dexterous tasks
* New technique that allows robots to learn fine motor skills
A short thread 🧵
We are thrilled to have 4 x papers accepted at @ICRA2023 #icra2023 ICRA will bring together the world's top academics, researchers, and industry representatives on Robotics and Automation. Papers are research collaborations with @Caltech@QUT@MIT_CSAIL@CSIRO's Machine Learning.
Our Round 1 General Place Recognition (GPR) Challenge at @ieee_ras_icra was a success with 168 competitors around the world, and received 529 submissions in just 24 days. We also had talks from @lucacarlone1 (MIT), @maththrills (QUT) and @junyanz89(CMU).
https://t.co/SliZPwDWp1
Excited to share that I'll be presenting at the @AirLabCMU GPR Competition at #ICRA2022@ieee_ras_icra.
Our method LoGG3D-Net ranked 2nd in round-1 of the City-scale UGV Localization task. Check out our project page: https://t.co/Qw1FC4u4Bm @CSIRORobotics
This year, we host the General Place Recognition competition at #ICRA2022, tackling challenging localization in long-term and large-scale autonomy. There's 2 tracks:
1) City-scale Localization (3D)
2) Visual Terrain Relative Navigation (2D)
For more info: https://t.co/e2mkCKEWeA