Tal Daniel @TalDaniel8
Postdoc @ CMU Robotics Institute Ph.D. from the Technion ECE Research interests include self-supervsied learning, generative modeling, RL, robotics. taldatech.github.io Joined November 2019-
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Boo! 👻 GHOST has been accepted to #RSS2026! Can we learn manipulation skills from human video (without action retargeting)? Yes! GHOST learns generalizable manipulation skills by training a hierarchical policy with an embodiment-agnostic sub-goal predictor + embodiment-specific controller. 🧵(1/7)
Self-supervised object-centric learning goes 3D! Get KP, BB and segmentations directly in 3D with 0 annotaions, super useful for robotic manipulation! Amazing work by @EllinaZhang (she will be at #ICML2026 in-person)!
🧩 #ICML2026 💥 How can a model discover the 3D objects in a scene—their shape, color, and position—without any labels? Introducing 3D-DLP, a self-supervised object-centric model that decomposes colored 3D scenes (RGB-D and voxels) into a set of 3D latent particles.
Excited to announce that our new book Reinforcement Learning Foundations is available for preorder! W/ @shiemannor and @YishayMansour 30% discount and free shipping till July 21 Discount code 148294 cambridge.org/il/universityp…
Object-centric representations for tactile data! And for a good cause! Great work!
Excited to present the first-ever 3D, generalizable, handheld tactile imaging system! 👇 Our system learns to visualize the inner structure of soft objects purely through touch - "More with LESS: Local Scene Representation for Tactile Imaging," has been accepted to #RSS2026 🇦🇺
VLA is 95% certain about current action. Will it 95% succeed in the task? Obviously, not necessarily. But if you’re clever, you can *calibrate* action prob. to task success. Our #ICML2026 paper formulates this + SOTA algorithms based on new connection to RL temporal differences
Excited to announce our paper is accepted to #ICML2026! VLA robot policies are capable, but do they know when they're failing? We tackle this with TDQC: a framework for sequential uncertainty calibration, with a surprising link between calibration theory and RL value function.
I’m attending #ICLR2026 in Rio this week to present LPWM! Friday April 24 Poster Session 3 10:30, Oral Session 4B 3:15p. Happy to chat about self-sup object-centric learning and world models. I’ll be on the job market soon and looking for exciting opportunities! #ICLR @iclr_conf
🚀 #ICLR2026 Oral 💥 How can we design world models that capture object interactions directly from pixels? Introducing Latent Particle World Models-the first end-to-end self-supervised, object-centric world model, trained from videos, supporting action/img/lang conditioning. 1/n
I will be at #ICLR2026 this week to present our work on Hierarchical Entity-centric Reinforcement Learning! Come by our poster (Thursday Poster Session 2 P4-#4712) and reach out anytime to talk about #ReinforcementLearning #WorldModels #HierarchicalRL
Learning accurate World Models for long horizon planning is hard. So what minimal aspect of world dynamics must a model capture to achieve complex goals? We find a simple and effective solution in our #ICLR2026 paper, which we will present as an Oral at @worldmodel_26. (1/n)
Check out our latest post on CMU@ICLR 2026! blog.ml.cmu.edu/2026/04/20/car…
🚀 Excited to share ViPRA: Video Prediction for Robot Actions 📍 Accepted to #ICLR2026 @iclr_conf 🏆 Best Paper — #NeurIPS2025 Embodied World Models Workshop Robot learning today still needs millions of action labeled videos. Yet videos are abundant — from humans and the web — but lack action labels. Meanwhile, pretrained video models already learn rich dynamics. ViPRA is a recipe for turning pretrained video models into robot policies while enabling robot learning to scale with actionless videos. 🧵 Thread ↓
Join us for live paper (Latent Particle World Models) overview + Q&A today (March 24) at 4pm PT / 7pm ET! x.com/TalDaniel8/sta…
🎤 Dr. @TalDaniel8 (@CarnegieMellon ) In a deep dive w/ @ceciletamura of @ploutosai How can AI discover objects, model uncertainty, and predict the future from raw video alone? 🔴 [world.ploutos.dev/stream/berserk…](world.ploutos.dev/stream/berserk…)
@DanHrmti @carl_qi98 @LambdaAPI @AvivTamar1 @davheld @pathak2206 🌐 Learn more about Latent Particle World Models (LPWM): Website: taldatech.github.io/lpwm-web/ Paper: arxiv.org/abs/2603.04553 Code (+ tutorial): github.com/taldatech/lpwm 16/n
Huge thanks to @DanHrmti, @carl_qi98, Amir Zadeh and Chuan Li (@LambdaAPI), @AvivTamar1, @davheld, and @pathak2206 — incredible collaborators who made LPWM possible. 15/n
During training, the posterior latent actions condition the dynamics module that predicts the next-frame prior. A KL regularization term aligns this prediction with the latent policy’s output, forming a VAE-style objective over particle transitions. 7/n
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