Abhishek Joshi

Member of Technical Staff @SkildAI, prev: @Princeton @UTAustin

[Abhishek Joshi @abhihjoshi]

We've released a dataset of over 20k assets for our latest work on simulation-ready articulated assets. Check it out on Hugging Face!

[Princeton Vision & Learning Lab @PrincetonVL]

Major update to Infinigen Articulated (formerly Infinigen-Sim)! You can now generate articulated 3D objects in 18 categories, simulation ready with physics parameters and improved efficiency. Also available: 20k pre-generated objects. Download links below👇

[Abhishek Joshi @abhihjoshi]

We’re going to warehouses!
Skild 🤝 Zebra

[Skild AI @SkildAI]

We have acquired Zebra Technologies’ robotics arm (formerly Fetch Robotics).

This is what happens when orchestration meets intelligence -- a major step toward fully autonomous warehouses.

More robots. More environments. One unified brain.

[Abhishek Joshi @abhihjoshi]

Super exciting stuff at GTC!

[Skild AI @SkildAI]

Nearly every system today, from energy to chips to food, is bottlenecked by scarce human capital.

We are changing that by building AI-powered industries of the future.

Check out Skild Brain robustly assembling GPU racks, a highly precise task, live at #NvidiaGTC.

[Skild AI @SkildAI]

Robotics is a data problem.

Today, we’re partnering with @ABBRobotics, @Universal_Robot, and @NVIDIARobotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines.

This will help us build the world’s biggest data flywheel for physical AI.

[Chris Paxton @chris_j_paxton]

This is the first time that I have seen Skild doing live demos in public! Demonstrating neural nets for precision manufacturing

[Abhishek Joshi @abhihjoshi]

🇮🇳🦾

[Skild AI @SkildAI]

India, we’re here! 🇮🇳🇺🇸

From one Silicon Valley to another, we’re thrilled to open our newest office in Bengaluru.

[Skild AI @SkildAI]

Let robots clean in peace 🧺🤖✨

[Skild AI @SkildAI]

Humans learn by watching. Robots should too.

[Skild AI @SkildAI]

Happy Holidays!! 🎄🎄

[Abhishek Joshi @abhihjoshi]

I tried out the Marble scene generator from @theworldlabs. Going from text/images to a 3D mesh is huge for scaling diverse robot data (assets from Infinigen). Super excited to see what's next!
Also, check out their latest case study: https://t.co/1s5uNAbWKl

[Princeton Vision & Learning Lab @PrincetonVL]

Major update to Infinigen Articulated (formerly Infinigen-Sim)! You can now generate articulated 3D objects in 18 categories, simulation ready with physics parameters and improved efficiency. Also available: 20k pre-generated objects. Download links below👇

[Princeton Vision & Learning Lab @PrincetonVL]

(1/n) Robots must learn to interact with articulated objects. While training in simulation is promising, high-quality articulated assets remain scarce. We present Infinigen-Sim: procedurally generated articulated simulation assets for robot learning. 🧵

[Generalist @GeneralistAI]

Today we're excited to share a glimpse of what we're building at Generalist. As a first step towards our mission of making general-purpose robots a reality, we're pushing the frontiers of what end-to-end AI models can achieve in the real world.

Here's a preview of our early results in autonomous general-purpose dexterous capabilities – fast, reactive, smooth, precise, bi-manual coordinated sensorimotor control.

[Unitree @UnitreeRobotics]

World's First Side-Flipping Humanoid Robot: Unitree G1 😊
One year after Unitree H1 (1.8m) pioneered the first standing backflip by an electric humanoid robot (March 2024). Meet the Unitree G1 – now flawlessly conquering an even more challenging standing side flip. (Zero malfunctions/damage occurred during programming and filming.)
#SideFlip #Unitree #Kungfu #EmbodiedAI #SpringFestivalGalaRobot #AI #Humanoid #Bipedal #WorldModel

[Yuke Zhu @yukez]

Thrilled to announce GR00T N1, our open foundation model for generalist humanoid robots!

GR00T N1 adopts a dual-system design, leverages the entire data pyramid for model training, and supports various robot embodiments.

GR00T N1 embodies years of fundamental research, spanning compositional autonomy stack, synthetic data generation, and scalable training algorithms.

We have made our whitepaper, pre-trained models, training datasets, and codebase publicly available. We can't wait to see how our efforts accelerate the future development of humanoid robotics!

🌐 Codebase: https://t.co/RUIjGYBIJR
🧩 Tech blog: https://t.co/zq2rwzxTij
📃 Whitepaper: https://t.co/pbx9hYOkyl

[Anirudha Majumdar @Majumdar_Ani]

How can we evaluate if your 🤖 understands 𝑠𝑒𝑚𝑎𝑛𝑡𝑖𝑐 notions of safety, e.g., that a soft toy must not be placed on a hot stove or a person with nut allergies must not be served peanuts?
We are releasing ASIMOV: the 1st large-scale multimodal safety benchmark and baselines

[Younghyo Park @younghyo_park]

Collect robot demos from anywhere through AR!

Excited to introduce 🎯DART, Dexterous AR Teleoperation interface enabling anyone to teleoperate robots in cloud-hosted simulation.

With DART, anyone can collect robot demos anywhere, anytime, for multiple robots and tasks in one sitting. Every data is automatically logged on our open-sourced cloud database DexHub for public use. https://t.co/bJ8N2C3xfc 🧵[1/n]

[Huihan Liu @huihan_liu]

With the recent progress in large-scale multi-task robot training, how can we advance the real-world deployment of multi-task robot fleets?

Introducing Sirius-Fleet✨, a multi-task interactive robot fleet learning framework with 𝗩𝗶𝘀𝘂𝗮𝗹 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹𝘀! 🌍 #CoRL2024

[Simar Kareer @simar_kareer]

Introducing EgoMimic - just wear a pair of Project Aria @meta_aria smart glasses 👓 to scale up your imitation learning datasets!

Check out what our robot can do.

A thread below👇

[Zhenyu Jiang @SteveTod1998]

How can we scale up humanoid data acquisition with minimal human effort?
Introducing DexMimicGen, a large-scale automated data generation system that synthesizes trajectories from a few human demonstrations for humanoid robots with dexterous hands. (1/n)