NACS in Las Vegas: Bruegmann set up the shop, @bracketbot brought the robot, and we connected the two via the real world web and @CactusXR.
Everything is ready and tested — expo hall opens tomorrow! Come see a live demo if you're around.
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Scodo ᛗ retweeted
The first thing we built for retail was an AR task manager and navigation assistant for the staff.
Today it has grown into a fullblown AI copilot that helps run the store, and even orchestrate autonomous robots. @CactusXR is the most advanced product offering on the market for retailers.
We can measure what part of the shelf gets customer attention without any additional hardware. Just your normal CCTV cameras and a digital twin made with the phone in your pocket.
@CactusXR will absolutely revolutionize how well stores can do their merchandising.
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It's not like we've been championing privacy in spatial computing for as long as we've existed as a company or anything. medium.com/posemesh/the-meta…
Receiving an interesting ratio of death threats and VC outreach over this now, so should probably clarify:
We at @Auki do not actually track any person. In this visualization we show how manage to derive the data we actually track: what part of the shelf receives attention.
It's like tracking how many cars cross a bridge without tracking which car it was or who was driving.
The reason we do this is to allow the stores to better optimize their shelf space. Space is first or second biggest cost for every retailer, so optimizing the use of space is what allows them to reduce prices for the consumer - something they're all under intense pressure to do.
We do not store any data at all about the shopper, and have no plans to.
Auki's tech will not be used to profile you, but it will make your groceries cheaper and your store visits faster.
We have always been champions of privacy, and that's not going to change.
Peace.
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Scodo ᛗ retweeted
Receiving an interesting ratio of death threats and VC outreach over this now, so should probably clarify:
We at @Auki do not actually track any person. In this visualization we show how manage to derive the data we actually track: what part of the shelf receives attention.
It's like tracking how many cars cross a bridge without tracking which car it was or who was driving.
The reason we do this is to allow the stores to better optimize their shelf space. Space is first or second biggest cost for every retailer, so optimizing the use of space is what allows them to reduce prices for the consumer - something they're all under intense pressure to do.
We do not store any data at all about the shopper, and have no plans to.
Auki's tech will not be used to profile you, but it will make your groceries cheaper and your store visits faster.
We have always been champions of privacy, and that's not going to change.
Peace.
We can measure what part of the shelf gets customer attention without any additional hardware. Just your normal CCTV cameras and a digital twin made with the phone in your pocket.
@CactusXR will absolutely revolutionize how well stores can do their merchandising.
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Scodo ᛗ retweeted
Hey! We built the tech. This does not track the person or build a profile about them, we only store a heatmap of what products are viewed by all customers in aggregrate.
It in no way targets the individual.
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Scodo ᛗ retweeted
We can measure what part of the shelf gets customer attention without any additional hardware. Just your normal CCTV cameras and a digital twin made with the phone in your pocket.
@CactusXR will absolutely revolutionize how well stores can do their merchandising.
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Auki Community Update Sep 18 x.com/i/broadcasts/1qKVmyMwZ…
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We're building a harness for physical AI, letting your agents autonomously gather and manage the context they need to understand your business.
Piloting in Q1 with support from @bracketbot, @GalbotRobotics and @RealmanRobotics.
In retail, knowing is half the battle.
Imagine a digital twin of your business keeps itself up to date, and an AI copilot that helps you make the right decisions for your unique environment and business.
Piloting in Q1 with several robotics platforms.
h/t @bracketbot
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Harnesses (context + tools) are the difference between basic chatbots and AI agents that get things done.
Physical AI harnesses will be the difference between robots that do repetitive tasks and general purpose robots.
The Auki SDK is how you build physical AI harnesses.
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Not a visually interesting update, but important details often aren't demo material.
We'll show it anyway: we can now update robots over the air — a critical milestone for deployment because it lets us remotely ship fixes and features to robots at customer sites.
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Robots can now send their own model as a registry through the Auki SDK, plus stream meshes and joint articulations.
Meaning any app (like @CactusXR) can visualize any robot in real time without relying on a central registry.
The real world web is robot agnostic, after all.
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Wizardry from our director of spatial computing @RobinerdGames: possibly the world's fastest camera-based barcode scanner?
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Until now, domain data has almost exclusively been captured by people walking and scanning with their phones.
But since robots also have cameras, why not teleoperate them to capture domain data instead?
Here's our first ever domain reconstructed from Galbot data. 👇
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Performance-testing Cactus and getting it ready for the world's biggest stores: this is 120k unique products on 8,000 fixtures.
- LoD rendering (more detail when zoomed in, less detail as you zoom out)
- Spatial index that fetches data you're looking at
- Interactive minimap
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Auki community update Jul 24 x.com/i/broadcasts/1qxvvvlrz…
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