i2RT
@i2rt_robotics
Robotic hardware that you can actually deploy in real world. Email [email protected] for inquiries!
Mama I’m on TV 🥹
Excited to announce that we have raised $120M in our Series A to advance the frontier of general-purpose high-performance robots. 🤖 The new funding will accelerate progress towards our mission of bringing foundation-model powered robots to everyone, everywhere. Read more 👇
We are hiring senior ML engineer, robot learning. Come build robots that work reliably in the real world. We're pushing robot policies beyond demos into production! Apply below.
disclaimer: cube lifting is not the only I can do
Happy Monday! We've added a cube lifting example using the YAM arm as a pedagogical reference for setting up manipulation tasks in mjlab. The reward is extremely simple and produces an elegant policy.
Lots of people ask why flow base is the size it is …. Looks how beautifully it maneuvers through that door 🥹
2 customizable IO buttons ergonomically located at high-touch areas. No more command lines to record/sync/end sessions.
Time to teach me something other than folding clothes please.
Excited to share our latest progress on DYNA-1 pre-training! 🤖 The base model now can perform diverse, dexterous tasks (laundry folding, package sorting, …) without any post-training, even in unseen environments. This powerful base also allows extremely efficient fine-tuning…
It's 2025. If you work in hospitality and think it should be automated — it should. Meet Nemo3 by @VerneRobotics: a dexterous, general-purpose hospitality robot. Laundry. Towel folding. Amenity kits. We do the jobs other robots find too hard. Book a demo →…
Growing my skill sets on a daily basis 🐣
Excited to share our latest progress on DYNA-1 pre-training! 🤖 The base model now can perform diverse, dexterous tasks (laundry folding, package sorting, …) without any post-training, even in unseen environments. This powerful base also allows extremely efficient fine-tuning…
I could have helped but you chose to let me sit there and watch 🧐
On-policy probing from a strong base model + off-policy residual learning + distillation might be a right formula for VLA post-training. The most interesting part to me is the intriguing cross-task generalization after distillation. Check out the PLD project led by @_wenlixiao…
What if robots could improve themselves by learning from their own failures in the real-world? Introducing 𝗣𝗟𝗗 (𝗣𝗿𝗼𝗯𝗲, 𝗟𝗲𝗮𝗿𝗻, 𝗗𝗶𝘀𝘁𝗶𝗹𝗹) — a recipe that enables Vision-Language-Action (VLA) models to self-improve for high-precision manipulation tasks. PLD…
it’s just matter of time before we see YAMs start assembling YAMs 🥹
What if robots could improve themselves by learning from their own failures in the real-world? Introducing 𝗣𝗟𝗗 (𝗣𝗿𝗼𝗯𝗲, 𝗟𝗲𝗮𝗿𝗻, 𝗗𝗶𝘀𝘁𝗶𝗹𝗹) — a recipe that enables Vision-Language-Action (VLA) models to self-improve for high-precision manipulation tasks. PLD…
Behind the scene: how are YAMs made? You’re watching the manufacturing process of J2 actuator on YAM Pro and YAM Ultra.
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