Naeem Akram

@PalatialSim Really amazing work by the team, can’t wait to see this library grow and become the standard for robotics simulations 💯

Scalable sim data is a foundational bottleneck for robotics. and the building blocks are physically accurate 3D assets. Today we're releasing the Palatial Library (library.palatial.cloud), the fastest-growing collection of sim-ready assets for robotics, powered by our automated generation pipeline. Every 60 seconds, a new Palatial asset is created, 24/7. Our goal is 1 asset/second, and 1 million assets generated this year.

robotics data for physical AI is front and center this year. from gtc's heavy focus on data infrastructure to human data ecosystems like egoverse, the field is waking up to the bottleneck of scaling robotics data. and there's real divergence in how people think about quantity, quality, modality, and diversity. @aurorafeng_01, @deeptt and i have been looking at the data infra landscape and put together a market map + open data vendor/collector list 👇

Team has been cooking, we're solving one of the most critical bottlenecks for physical AI progress, one release at a time!

Exciting week at #GTC. Physical AI is hitting an inflection point: scaling laws are emerging, but data pipelines are still bottlenecked by human labor. Palatial is the only fully automated SimReady asset generator, create articulated objects ready for robot training in less that

Last week, we launched Palatial PhysReady and the response blew us away. Over 100 companies signed up for our waitlist and the team had a blast watching everyone tagging @PalatialSim with their creative prompts. We generated over 100 assets in 1 day and below are a few of the

@PalatialSim @MbeamMatt @Palatial @PalatialSim can you generate the iPhone again with highest quality settings, this one doesn’t quite match a standard iPhone

@MbeamMatt @Palatial ✅ Your iPhone 17 is ready! 👀 View in 3D: dashboard.palatial.cloud/viewer/69a1106… 📦 PhysReady

A child consumes more data in 1 month than any LLM has ever seen. Embodied agents learn by doing, but the data that teaches them is tactile, sensorial and causal. Such data does not exist. To make physical AGI possible, we need to generate this new data at an industrial scale. Enter Palatial: automated infrastructure that converts raw data into sensory rich playgrounds for robots to learn in. Today, we’re unveiling Palatial PhysReady, the first automated sim asset generator (try it ⬇️) [1/5]

RT @PalatialSim: Palatial PhysReady launched a couple of days ago and we're already seeing users putting it to the test in Issac Sim with t…

Automated real2sim pipeline is finally real by @PalatialSim I tested it with Isaac Sim and Franka Panda Arm— placing a fork into a dishwasher. Both assets? Generated from scratch by Palatial in minutes. @StevenRSim @PalatialSim @nvidiaomniverse Here's the full workflow:

New project:@PalatialSim (follower 312) Bio:Physically accurate assets and scenes for robot simulation training at scale alert follower:@emily_yu,@Rewkang

@naeem0414 ✅ Your electric scooter is ready! 👀 View in 3D: dashboard.palatial.cloud/viewer/699def2… 📦 PhysReady

@naeem0414 ✅ Your chair with tractor wheels is ready! 👀 View in 3D: dashboard.palatial.cloud/viewer/699de3d… 📦 PhysReady

@stevenRSim @PalatialSim @PalatialSim Thanks

@naeem0414 @PalatialSim you gotta send your tractor wheel request @naeem0414

First time trying VR teleoperation in Isaac Lab on an articulated object generated using @PalatialSim

@PalatialSim Can you generate me a hq chair with huge tractor wheels that's also articulated?

@stevenRSim @PalatialSim I did, it's cooking rn 🙌

@PalatialSim True to the prompt with physics embedded parts. Awesome!

Hey @PalatialSim Can you generate me high quality 3D model of an electric scooter with tractor wheels thta's also articulated?