Head of the Robotic Imaging Lab @Sydney_Uni / @SIRISRobotics / Australian Centre for Robotics; Theme Lead @ariam_hub; Better robots for better humanity.
Registrations for the Robotic Vision Summer School 2025 are open! Join us at the beautiful Australian Pacific coast for a week full of robotic vision lectures, hands-on practicals, and research spotlights! Learn from the best, make new friends, have fun! https://t.co/3i3KBuCjQd
Excited to organise the Robotic Vision Summer School again for 2025 with an amazing team of co-organisers and speakers! Registrations are open, get your ticket early! https://t.co/wSya4fcZKt @DimityMiller@TobiasRobotics@dgdvision@feras_dayoub@QUTRobotics
If you learn a classifier, how can you quantify uncertainty?
If you learn a neural ODE, how do you ensure stability?
If you learn a surrogate loss, will it have a unique minimum? Can you find it?
At @icmlconf we present answers to these questions.
Poster sess 5, Thurs 1:30pm.
3-year postdoc in Sydney: 3D reconstruction of reflective infrastructure. Experienced with NeRF, Gaussian Splatting, or Light Fields? Want to help robots see and do? We want to hear from you! https://t.co/aSZO200Bvw for details @trendspek@ariam_hub@SIRISRobotics@Sydney_Uni
ARIAM Research Hub is excited to announce that our inaugural Australian School of Robotic Systems (AuSRoS) will take place on July 2-5, 2024. The program will bring together an exciting four-day lineup of lectures, workshops, and activities. More: https://t.co/eBn2nBMFcX
❓ Want to find out more about study with us?
👉 Explore our research programs: https://t.co/YnaILNbyUW
👉 Get in touch with one of our Chief Investigators: https://t.co/IBK2r3cVWq
👉 Or send your CV to the centre directly: [email protected]#PhD#Study#QUT#phdforum
Excited to announce our upcoming and first ARIAM seminar: on Thurs (13th June) 1pm AEST Dr Alexandre Cardaillac will present on: Towards autonomous underwater navigation and perception for end-to-end ship hull inspection.
https://t.co/AknpjwHjC4
🐍Python update!
Our privacy reconstruction challenge now contains a python quick-start! All the instructions and contributions from others can be found at https://t.co/tIYiXwiLfD
Project page: https://t.co/x1wbiOT1jk
Excited to announce our next seminar: next Thurs (30th May) 1pm AEST Prof Ian Manchester will present on: Robust Learning for Dynamics, Control, and Optimization.
https://t.co/kIdcSkXuXj