George Papagiannis

PhD in Machine learning for Robotics @imperialcollege | MPhil in Advanced CS from @Cambridge_Uni

[George Papagiannis @geopgs]

✨New #IROS2024 paper: “Adapting Skills to Novel Grasps: A Self-Supervised Approach”

We leverage self-supervised data to adapt skill trajectories to novel object grasp poses.

No need for depth, no prior knowledge, no CAD models, no calibration - just RGB images.

Here's how👇

[Kirill Mazur @makezur]

How to build complete 4D reconstructions from videos? Swing by 4DPM oral presentation today: Mile High Ballroom 3A - 4A, 13:00

#CVPR2026

[Pietro Vitiello @pitvit_]

When your work ends up all the way to the cover of @SciRobotics you can’t help it but feel incredibly honoured and proud.

It’s been an absolute pleasure working with my co-lead and dear friend @kamildre. And a great thanks goes to the entire team @vitalisvos19 @Ed__Johns . Mega job, well done.

Special thanks also go to the @SciRobotics reviewers and editors who helped improve the paper and made the submission process much more enjoyable.

[George Papagiannis @geopgs]

@normandipalo Great work and cool demos 🦾

[Norman Di Palo @normandipalo]

Excited to share Gemini Robotics On-Device, a VLA that runs locally on a single GPU. ⚡️

It combines dexterity, robustness, and inference speed, and can be finetuned easily to solve new tasks and on new embodiments.

If you're at RSS, there is going to be a live session today!

[Norman Di Palo @normandipalo]

A great chat about robots that learn by watching you, in-context imitation learning, how to use foundation models and more.

Watch it here 👇🏻

Thanks @chris_j_paxton and @micoolcho for having us and to my friend and collaborator @geopgs for the long nights spent on this project.

[George Papagiannis @geopgs]

@JohnVial @normandipalo @RoboPapers @micoolcho @chris_j_paxton You should be able to get a license and download the Mano model without issues

[George Papagiannis @geopgs]

Great chat with @micoolcho and @chris_j_paxton on our latest work with @normandipalo on how to learn robot skills from human videos

[RoboPapers @RoboPapers]

Ep #5 with @geopgs & @normandipalo on R+X: Retrieval and Execution from Everyday Human Videos https://t.co/bnosBL7VxQ

Co-hosted by @micoolcho & @chris_j_paxton

[Norman Di Palo @normandipalo]

Imagine a robot that learns all sorts of tasks simply by watching you.

This future is closer than ever: R+X was accepted at ICRA 2025.

From an hour long POV video we can perform in-context imitation learning, from human to robot. No training or robot data needed.

[Ian Goodfellow @goodfellow_ian]

Posting a call for help: does anyone know of a good way to simultaneously treat both POTS and Ménière’s disease? Please contact me if you’re either a clinician with experience doing this or a patient who has found a good solution. Context in thread

[George Papagiannis @geopgs]

@DotanDiCastro @Ed__Johns @DotanDiCastro Thanks for sharing InsertionNet. The goal of MILES was to develop a general imitation learning method from a single human demo, that does precise tasks, including insertion, but also more general tasks like opening a lid or placing a bread into a toaster.

[Edward Johns @Ed__Johns]

Want to teach your robot new tasks from only a single demo?

We've just released code for MILES, which we presented at CoRL 2024 last week.

Learning is fully automated: you just provide a single demonstration, then sit back and relax! 🍹😴

Code: https://t.co/UD2ZvKtlq0.

🧵👇

[Edward Johns @Ed__Johns]

Could robots collect and self-label their own data? It would be much easier than manually giving endless demos!

New at #CoRL2024:
🦾✌️ MILES: Making Imitation Learning Easy with Self-Supervision

Our robot learned to use a key from just one demo!
https://t.co/UD2ZvKtlq0
More 👇

[Edward Johns @Ed__Johns]

Can a robot learn a skill with one object grasp, and then perform that skill with an entirely different object grasp?

Today at #IROS2024, @geopgs will present our solution based on self-supervised learning! 🤖📷🔨

Oral at 6pm in Room 3. Come along 😀.

https://t.co/FH0nfm9WCi

[George Papagiannis @geopgs]

This work could not have been possible without the great help of my coauthors @vitalisvos19 and Kamil Dreczkowski in implementing the baseline methods and useful discussions.

[George Papagiannis @geopgs]

✨New #IROS2024 paper: “Adapting Skills to Novel Grasps: A Self-Supervised Approach”

We leverage self-supervised data to adapt skill trajectories to novel object grasp poses.

No need for depth, no prior knowledge, no CAD models, no calibration - just RGB images.

Here's how👇

[George Papagiannis @geopgs]

For more insights and additional experiment results, see our arxiv paper and website:

Paper: https://t.co/d6bCo7ZXDs
Website: https://t.co/J6u6XpgkCy

Supervised by @Ed__Johns