Thrilled to announce I’m joining @JHUCompSci as a CS PhD student with @mangahomanga. Looking forward to collaborating with new faculty members @_krishna_murthy, @jmin__cho, @anand_bhattad, @HaiminHu & @zihyunchiu and being part of this rising community. Great things ahead!

POV: attending CVPR

I'm attending CVPR in Denver this week. On workshop days, I'll be giving a keynote talk, participating in panels, and co-organizing a workshop. Details below. If you're around, do say hi!

Launching my research group, MAGIC (Manipulation and General Intelligence Control) Lab @NUSComputing, Singapore! We focus on building the next generation of human-centric models for robotic manipulation — deployable safely, reliably, and easily in the real world. Our research spans MLLM reasoning, 3D vision, robot learning, simulation, dexterous manipulation, and cross-embodiment learning. Interested in joining? Sign up here and I'll send a reminder email: forms.gle/oJPLR2pLTt8kLCxZ7

Apparently, my students have brought binoculars to their office to bird watch during the day. The advantages of our new beautiful @HopkinsDSAI office space. 🦜🦆🕊️ Should I be worried about productivity?

We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.

[Major life updates] 🎉 After 4 incredible years of my PhD at @UW @uwcse with @fox_dieter17849 and @RanjayKrishna, I'm joining @NUSComputing as an Assistant Professor this August, under the Presidential Young Professorship scheme! More details 🧵👇

#KostasKeynoteLessons: Still curious about the "Keynote magic" behind my slides? Check out the full Keynote source files from my recent talk at the ELLIS Winter School on Foundation Models (FoMo) 2026! Grab the files in the thread and feel free to remix.

Checkout my work RobotArena ∞ at ICLR 2026 in Rio 🇧🇷 If you're around, come check out our poster at Pavilion 3, P3-#1115 and chat with @YidiZ13267 #ICLR2026 #MachineLearning #AI

We're thrilled to organize the 2nd Workshop on Agents in Interactions: From Humans to Robots! Submit your best work by May 8 and join us at CVPR in Denver to discuss research in this exciting space w/ @yufei_ye @DandanShan_ @jiaman01 @xiaolonw Alan Yuille

Checkout @mihirp98's amazing work!!

Robot learning is growing at @JHUCompSci @HopkinsDSAI Thanks @DexmateAI for supporting us! @anand_bhattad @mangahomanga Greg Hager and I put this proposal together. I just happened to be the one to hit submit :)

We have fully open-sourced all of our code, and you can now test our VLA on CALVIN and LIBERO-Pro.: github.com/Vision-Language-S… Have fun building and steering your pre-trained policy.

New release led by @s1wase Further lowers the barrier of entry into bimanual manipulation learning. Flexible teleop/IK/perception. Easy setup to replicate tri-ml.github.io/raiden/