Excited to see the great work done. Congrats! @yingke_wang18 @RuohanZhang76

Intelligent humanoids should have the ability to quickly adapt to new tasks by observing humans Why is such adaptability important? 🌍 Real-world diversity is hard to fully capture in advance 🧠 Adaptability is central to natural intelligence We present MimicDroid 👇 🌐

I’m at #CoRL2025 in Seoul this week! I’m looking for students to join my lab next year, and also for folks excited to build robotic foundation models at a startup. If you’re into generalization, planning and reasoning, or robots that use language, let's chat!

Looking for a PhD position? Apply to the @ELLISforEurope PhD program and get the unique opportunity to work with two different research teams across Europe! Apply by 31 Oct:

10 years ago, deep learning was in its infancy. PyTorch didn't exist. Language models were recurrent, and not large. But it felt important: a new technology that would change everything. That's why @drfeifei , @karpathy, and I started @cs231n back in 2015 - to teach the world's

🔥 Deadline extended! The non-archival track is now open until Aug 17. Have research related to digital twins? Consider submitting it to our workshop at @ICCVConference 2025. Previously accepted or published papers are welcome as well. #ICCV2025

Enabling robots to improve autonomously via RL will be powerful, and dense shaping rewards can greatly facilitate RL. Our #IROS2025 paper presents a method leveraging VLMs to derive dense rewards for efficient autonomous RL. ⚡🦾 #Robotics #ReinforcementLearning 🧵1/5

Not all demos are created equal🧐. CUPID uses influence functions to curate only the data that truly drives policy success. If you are interested in data curation methods, this paper definitely worths reading. Congratulations to the team! @agiachris @leto__jean

I've been a bit quiet on X recently. The past year has been a transformational experience. Grok-4 and Kimi K2 are awesome, but the world of robotics is a wondrous wild west. It feels like NLP in 2018 when GPT-1 was published, along with BERT and a thousand other flowers that

How can we unlock generalized reasoning? ⚡️Introducing Energy-Based Transformers (EBTs), an approach that out-scales (feed-forward) transformers and unlocks generalized reasoning/thinking on any modality/problem without rewards. TLDR: - EBTs are the first model to outscale the

🤖 Household robots are becoming physically viable. But interacting with people in the home requires handling unseen, unconstrained, dynamic preferences, not just a complex physical domain. We introduce ROSETTA: a method to generate reward for such preferences cheaply. 🧵⬇️

Your bimanual manipulators might need a Robot Neck 🤖🦒 Introducing Vision in Action: Learning Active Perception from Human Demonstrations ViA learns task-specific, active perceptual strategies—such as searching, tracking, and focusing—directly from human demos, enabling robust

Intriguing work on scaling up visual affordance prediction. 🥳 Definitely checkout UAD if you are interested! 🤩

Very interesting work in reconstructing digital twins from in-the-wild video. It has great potential for robotics applications, possibly enhancing sim-to-real transfer with ''controllable randomization''

How to use simulation data for real-world robot manipulation? We present sim-and-real co-training, a simple recipe for manipulation. We demonstrate that sim data can significantly enhance real-world performance, even with notable differences between the sim and the real. (1/n)

These days, it feels like a new robotic hand is developed every week. But how can we give them all vision-based general grasping ability? Meet AnyDexGrasp: it enables robust grasping across different robot hands—with just 40 training objects and 4–8 hours of trial and error!

🤖 Ever wondered what robots need to truly help humans around the house? 🏡 Introducing 𝗕𝗘𝗛𝗔𝗩𝗜𝗢𝗥 𝗥𝗼𝗯𝗼𝘁 𝗦𝘂𝗶𝘁𝗲 (𝗕𝗥𝗦)—a comprehensive framework for mastering mobile whole-body manipulation across diverse household tasks! 🧹🫧 From taking out the trash to

In the past, we extended the convolution operator to go from low-level image processing to high-level visual reasoning. Can we also extend physical operators for more high-level physical reasoning? Introducing the Denoising Hamiltonian Network (DHN): https://t.co/GY76QreRge

Ever wondered how roses grow and wither in your backyard?🌹 Our latest work on generating 4D temporal object intrinsics lets you explore a rose's entire lifecycle—from birth to death—under any environment light, from any viewpoint, at any moment. Project page:

1/ [NeurIPS D&B] Introducing HourVideo: A benchmark for hour-long video-language understanding!🚀 500 egocentric videos, 18 total tasks & ~13k questions! Performance: GPT-4➡️25.7% Gemini 1.5 Pro➡️37.3% Humans➡️85.0% We highlight a significant gap in multimodal capabilities🧵👇