Jayjun Lee

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 🧵👇

🥳HydroShear got accepted to RSS 2026! Looking forward to the Vitruvian kangaroo t-shirt! We've open-sourced our code for tactile sim-to-real RL: github.com/MMintLab/hydro…

Come participate in the RoboMME challenge @CVPR 2026!!

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

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

Thanks to my awesome co-lead @dangan1693 and all the amazing guidance and support from our team @mukadammh, Alice Wu, Bernadette Bucher, Manikantan Nambi, and @NimaFazeli7! @amazon @UMRobotics

For more details and videos, check out our webpage and the paper! Webpage: hydroshear.github.io ArXiv: arxiv.org/abs/2603.00446

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 🧵👇

I’m co-organizing the H2R workshop and we’re starting soon! Come join our session in Room E3. sites.google.com/view/h2r-corl2…

@stepjamUK @imperialcollege Congrats! 🎉

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at @imperialcollege, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) (swirl.uk) is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via swirl.uk

@akashshrm02 @_akhaliq @corl_conf @YinpeiD @NimaFazeli7 @SLED_AI Thanks Akash!! Congrats to you too :) See you!

@jayjunleee @_akhaliq @corl_conf @YinpeiD @NimaFazeli7 @SLED_AI Very cool @jayjunleee see you at CoRL! :)

Thanks @_akhaliq for posting our work! And I'm happy to share that AimBot 🎯 is accepted to CoRL 2025 @corl_conf! See you in Seoul! Project webpage: aimbot-reticle.github.io Thanks to my amazing co-lead @YinpeiD, co-authors, and our advisors @NimaFazeli7, @SLED_AI

@ziqiao_ma @_akhaliq @corl_conf @YinpeiD @NimaFazeli7 @SLED_AI You should visit!

@jayjunleee @_akhaliq @corl_conf @YinpeiD @NimaFazeli7 @SLED_AI CoRL at home for you!!

Thanks @_akhaliq for sharing our work! The core takeaway from AimBot is straightforward: explicit spatial cues (as shooting lines & scope reticles) are strong 2.5D augmentations that enhance the spatial grounding of any VLA models. These cues are interpretable and also strengthen proprioceptive state encoding. To appear in #CoRL2025 @corl_conf. Find out more here -> aimbot-reticle.github.io