Very cool loco-manipulation project! Bravo Changyi Lin!

VLM semantic reasoning meets rigorous uncertainty quantification! Congrats Allen!

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications. arxiv.org/abs/2410.20357

This is a huge update to one of the most popular simulation platforms! Congrats Yifeng!

Very interesting and impressive work!

[1/4] 🌟Sneak Peek: SPARK in Action! 🦾 Previewing Safe Protective & Assistive Robot Kit (SPARK)—a modular toolbox designed to enhance safety in humanoid autonomy and teleoperation. Safety isn't just a feature—it's the foundation for humanoids to truly integrate into human life.

Can we make wearable sensors for humanoid robots and augment their perception? We are introducing ARMOR, a novel egocentric perception system that integrates both hardware and software, specifically incorporating wearable-like depth sensors.

🚨Ever worried that your collected data cannot be used for training robot policies? You may need a Vision Pro. 🔥Check out this new AR-enabled, in-the-wild data collection method from our team here at Apple! Kudos to Ryan Hoque and everyone in the team!🎊

🚨Check out our new RAL paper about on-the-fly system ID for adaptive Sim2Real transfer🦾 Also, first author XilunZhang is applying for PhD this year. If you have or know any openings, please DM this young brilliant student!

🚀 New Research on Human-Robot Interaction! 🤖 How can humanoid robots communicate beyond words? Our framework, EMOTION, leverages Large Language Models (LLMs) to dynamically generate expressive gestures, enhancing non-verbal communication in robots. 🤯 Our experiments show

TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization. 📦🏃🤸 𝐔𝐧𝐢𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐏𝐨𝐥𝐢𝐜𝐲 & 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐏𝐨𝐥𝐢𝐜𝐲 𝐀𝐝𝐚𝐩𝐭𝐚𝐭𝐢𝐨𝐧 for Various Human-Scene Interaction (HSI) Tasks! #CVPR2025 🏠 Project Page:

Love to see the convergence of animation and whole-body control!

Human egocentric video is the true passively-scalable data source! Great work from NYU and Berkeley!

Check out this extremely cool EgoDex data visualization tool created by Pablo Vela! Thanks for the great job!