Just realized my paper is being used as a baseline—such a strange feeling! Seeing my model tested across different settings without me doing anything is fascinating. 🤯 Added the papers using ThinkGrasp as a baseline to its GitHub—check them out!🥳

Just posted a 21-min tutorial on Model Context Protocol (MCP) — no jargon, just real-life analogies. 🍜 Restaurant menus 🧳 Travel guides 🦸‍♂️ Superpowers 📝 Memory notes I wanted to make it clear enough for anyone, even without a tech background. 🎥👇 youtu.be/0EtVAzIYbys?si…

🤖 How do AI agents actually work together? I made 2 short videos on Google’s Agent2Agent (A2A) protocol: 📘 Ep1: What is A2A? 📙 Ep2: Why it matters No backend needed—just curiosity. 🎥 Watch here: youtube.com/playlist?list=…

🎉 We’re excited to host two challenges at LOVE: Multimodal Video Agent Workshop at CVPR 2025, advancing the frontier of video-language understanding! #CVPR2025 #CVPR2025 📌 Track 1A: [VDC] Video Detailed Captioning Challenge Generate rich and structured captions that cover multiple

📢 (1/16) Introducing PaTH 🛣️ — a RoPE-free contextualized position encoding scheme, built for stronger state tracking, better extrapolation, and hardware-efficient training. PaTH outperforms RoPE across short and long language modeling benchmarks arxiv.org/abs/2505.16381

🔥 We introduce Multiverse, a new generative modeling framework for adaptive and lossless parallel generation. 🚀 Multiverse is the first open-source non-AR model to achieve AIME24 and AIME25 scores of 54% and 46% 🌐 Website: multiverse4fm.github.io 🧵 1/n

🥳Visual Tree Search of Web Agent has been accepted!

🤣First time at RSS! Happy to meet up and chat!

inspired talk! #RSS2025

Owen will be presenting our poster for the paper Hierarchical Equivariant Policy via Frame Transfer at ICML Today (see lnkd.in/e-7p9Viq for details). If you are interested in equivariance and/or robotic manipulation please stop by!

Excited to share our #ICML2025 paper, Hierarchical Equivariant Policy via Frame Transfer. Our Frame Transfer interface imposes high-level decision as a coordinate frame change in the low-level, boosting sim performance by 20%+ and enabling complex manipulation with 30 demos.

Introducing Eigent — the first multi-agent workforce on your desktop. Eigent is a team of AI agents collaborating to complete complex tasks in parallel. It is your long-term working partner with fullly customizable workers and MCPs. Public beta available to download for MacOS,

Need help from the #ECMLPKDD2025 community! My demo track paper was accepted, but I can't attend due to visa issues. 😢 Hoping a kind attendee could present it for me. I will provide everything! If you will attending and can help, please DM me!

Thanks AK for sharing our work! Aim and Grasp! AimBot introduces a new design to leverage visual cues for robots - similar to scope reticles in shooting games. Let's equip your VLA models with low-cost visual augmentation for better manipulation! aimbot-reticle.github.io