Jayjun Lee @ RSS 2026

140 posts

Jayjun Lee @ RSS 2026 banner
Jayjun Lee @ RSS 2026

Jayjun Lee @ RSS 2026

@jayjunleee

Robotics Research Intern @NvidiaAI; Robot Learning PhD student @UMRobotics; undergrad @imperialcollege

Katılım Nisan 2023
345 Takip Edilen147 Takipçiler
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Jayjun Lee @ RSS 2026
Jayjun Lee @ RSS 2026@jayjunleee·
Has visual fidelity outpaced dynamic fidelity in tactile simulation for sim-to-real transfer of policies? Introducing HydroShear 🏄‍♂️ : a hydroelastic tactile shear simulation for training zero-shot sim-to-real tactile policies in contact-rich tasks where fingertip force and shear matter most! Webpage: hydroshear.github.io Robot videos in 1x 🧵👇
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Ankit Goyal
Ankit Goyal@imankitgoyal·
Thrilled to share that I'll be joining the University of Michigan as an Assistant Professor in Fall 2027! My lab will work on Robot Learning, Dexterous Manipulation, Robot Foundation Models & 3D Perception. I'm looking for students to join me. Please apply and reach out. (1/2)
Ankit Goyal tweet mediaAnkit Goyal tweet media
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Yun-Ta Tsai
Yun-Ta Tsai@yunta_tsai·
One of the bitter lessons in computer vision is the false assumption that solving all the intermediate representations—segmentation, 3D meshes, depth, etc.—is needed to make a computer understand the scene. In the end, it is the final policy that takes action that matters.
Andrei Bursuc@abursuc

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

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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Introducing Cosmos 3: Our latest frontier model for Physical AI Cosmos 3 is the world’s first fully open omnimodel with native vision reasoning, world and action generation. Today we’re releasing Super (32B) and Nano (8B) variants.
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Jayjun Lee @ RSS 2026
Jayjun Lee @ RSS 2026@jayjunleee·
Excited to share our new robot learning sim benchmark RoboMME with a wide range of non-Markovian tasks specifically designed to evaluate different forms of memory for manipulation policies! robomme.github.io
Yinpei Dai@YinpeiD

Robot memory methods are growing fast, but systematic evaluation is largely lacking. 📉 Introducing RoboMME: a new benchmark for memory-augmented robotic manipulation! 🤖🧠 Featuring 16 tasks across temporal, spatial, object, and procedural memory 🔗 robomme.github.io

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Mustafa Mukadam
Mustafa Mukadam@mukadammh·
high fidelity tactile simulation with shear(!!) to train sim-to-real RL policies years ago I was less bullish on tactile simulation so we doubled down on SSL with just real data to build Sparsh models now we can revist co-training on sim + real data
Jayjun Lee @ RSS 2026@jayjunleee

Has visual fidelity outpaced dynamic fidelity in tactile simulation for sim-to-real transfer of policies? Introducing HydroShear 🏄‍♂️ : a hydroelastic tactile shear simulation for training zero-shot sim-to-real tactile policies in contact-rich tasks where fingertip force and shear matter most! Webpage: hydroshear.github.io Robot videos in 1x 🧵👇

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Jayjun Lee @ RSS 2026
Jayjun Lee @ RSS 2026@jayjunleee·
Has visual fidelity outpaced dynamic fidelity in tactile simulation for sim-to-real transfer of policies? Introducing HydroShear 🏄‍♂️ : a hydroelastic tactile shear simulation for training zero-shot sim-to-real tactile policies in contact-rich tasks where fingertip force and shear matter most! Webpage: hydroshear.github.io Robot videos in 1x 🧵👇
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