Roberto Pellerito

25 | Robotics+Vision Ph.D. at RPG @ETH/@UZH_en, Founder and CTO of @EmemeAI. Prev. @Disney Research.

[Roberto Pellerito @senecobis]

Deadline: June 10th (AoE)
🌐 Website: https://t.co/Lj8EaWmuLu
📝 OpenReview: https://t.co/EApNi1xWjp

#RSS2026 #NeuRoSys #Neuromorphic #Robotics #EventCameras #DVS #NeuromorphicComputing #RoboticsResearch #CallForContributions

[Roberto Pellerito @senecobis]

Heading to Sydney for #RSS2026? 🇦🇺 Join the 2nd iteration of our Neuromorphic Robotics Systems (#NeuRoSys) workshop! 🤖🧠⚡
We’re looking for work on #EventCameras, neuromorphic hardware, bio-inspired control, and real-time/real-robot applications.

[Andrei Bursuc @CVPR @abursuc]

Bill Freeman gives us first a list of warm-up bitter lessons. He keeps the bigger ones for later in the talk. #cvpr2026

[Alessandro Burzio @AleBurzio]

It’s been a long time coming!
Incredible team effort, so happy to be part of this

Code and model weights: https://t.co/SA4fhB4yUq

[Kosta Derpanis (sabbatical in Zurich) @CSProfKGD]

.@ylecun making his usual impassioned case for LLMs and RL 🍒 for world models ... just kidding 🤓

Thanks Yann for the thought-provoking talk.

[Elon Musk @elonmusk]

The human-perceived RGB is image 1 and the Tesla AI photon count reconstruction is image 2.

This is why Tesla FSD can see so well at night or through extreme glare.

[Genesis AI @gs_ai_]

We are back. After one year of quiet building.

Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.

For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.

Solving it means rethinking the whole stack from the ground up:

- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.

GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.

Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)

We are approaching the endgame for robotics.

And this is just a beginning.

[Andrea Tagliasacchi @CVPR @taiyasaki]

📢📢📢introducing 𝐏𝐨𝐰𝐞𝐫 𝐅𝐨𝐚𝐦

A 3D representation that can be ray traced or rasterized in real time, with NO COMPROMISE in quality.

- Project: https://t.co/LkmVQjkIt2
- arXiv: https://t.co/TtMbyKrvrp

Rasterized at 3DGS-class FPS
Ray traced at Radiant Foam speeds

[Andrew Davison @AjdDavison]

Yes, absolutely: factor graphs are energy-based world models, and very general in terms of structure and computation patterns. See the last chapter of the SLAM Handbook for my view, including general learning within factor graphs. Free PDF at: https://t.co/EdTa9zbNg7

[Andrew Davison @AjdDavison]

Looks like impressive SLAM thinking has gone into this. Congrats on the results.

[moab.arar @ArarMoab]

Video models as Physics simulators. 🌍🎥

[1/] In our latest work, WinDiNet, we finetuned a pre-trained video model into a differentiable physics engine. 1000x faster than traditional CFD solvers.

Project page: https://t.co/LAx7t00y3e
Abs: https://t.co/OdcgbKeQEG

[Vincent Sitzmann @vincesitzmann]

In my recent blog post, I argue that "vision" is only well-defined as part of perception-action loops, and that the conventional view of computer vision - mapping imagery to intermediate representations (3D, flow, segmentation...) is about to go away.

https://t.co/aFmE9CHHau

[Roberto Pellerito @senecobis]

Cool step forward for real-time SLAM, wonder how does it perform against DPVO/DROID-SLAM

[Ignacio Alzugaray @alzugarayign]

Excited to present ACE-SLAM, the first neural SLAM to use Scene Coordinate Regression as an implicit map representation

Efficient (real-time from live stream), compressive (neural maps <1MB) and robust to dynamic scenes

With @marwan_ptr and @AjdDavison
https://t.co/tMsD5hTkB3

[Roberto Pellerito @senecobis]

Great to have @xiao_ted stop by the lab today! We had a fantastic conversation about the bright future of robotics and the potential of VLAs✌🏼

[cheaty @cheatyyyy]

GEMINI 3 PRO MODEL CARD LEAKED

[Roberto Pellerito @senecobis]

@xiao_ted Wanna pass by UZH in Oerlikon?

[Andrew Davison @AjdDavison]

A reminder that accurate motion estimation sparse visual SLAM has been in the domain of industry for many years now, and what you might often see in academic papers as the "state of the art" is fairly meaningless. (From @pesarlin.bsky.social)

[Roberto Pellerito @senecobis]

Super cool

[Phillip Isola @phillip_isola]

Over the past year, my lab has been working on fleshing out theory/applications of the Platonic Representation Hypothesis.

Today I want to share two new works on this topic:

Eliciting higher alignment: https://t.co/KY4fjNeCBd
Unpaired rep learning: https://t.co/vJTMoyJj5J

1/9

[hardmaru @hardmaru]

The high cost required to train large foundation models makes them the fastest depreciating asset in human history.

[Jack Parker-Holder @jparkerholder]

Genie 3 feels like a watershed moment for world models 🌐: we can now generate multi-minute, real-time interactive simulations of any imaginable world. This could be the key missing piece for embodied AGI… and it can also create beautiful beaches with my dog, playable real time