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Two very different projects. Same kind of engineering instinct. The upper clip uses a cockroach with a very minimal mechanical setup. The lower one takes a quadcopter and surrounds it with tracked frames so the same machine can move on land, travel through water and take off into the...

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Techniahqrobot | humanoid robots

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60,209 Aufrufe • vor 9 Tagen •via X (Twitter)

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10 Kommentare

Profilbild von Abhimanyu Roy
Abhimanyu Royvor 9 Tagen

Is that first one anal probing cockroach?

Profilbild von Techniahqrobot | humanoid robots
Techniahqrobot | humanoid robotsvor 9 Tagen

That first project definitely needs some context 😅 I’m still trying to find the original paper or intended use case, because the setup looks very unusual

Profilbild von Techniahqrobot | humanoid robots
Techniahqrobot | humanoid robotsvor 8 Tagen

Too late. It already knows where you live.

Profilbild von RAZA | AI EXPLORER
RAZA | AI EXPLORERvor 9 Tagen

Really interesting engineering approach. Designing around the environment instead of adding software layers is a compelling idea.

Profilbild von Techniahqrobot | humanoid robots
Techniahqrobot | humanoid robotsvor 9 Tagen

I like seeing hardware geometry do part of the work before control software even enters the picture. It often leads to simpler behavior with fewer assumptions.

Profilbild von RAZA | AI EXPLORER
RAZA | AI EXPLORERvor 8 Tagen

Exactly. Good geometry can simplify the control problem from the start.

Profilbild von BonBonaz
BonBonazvor 8 Tagen

cockroach with a mech suit, still less scary than my liquidation price

Profilbild von Techniahqrobot | humanoid robots
Techniahqrobot | humanoid robotsvor 8 Tagen

Give the cockroach leverage and then we have a real problem.

Profilbild von Prime Ashref
Prime Ashrefvor 8 Tagen

@grok wtf is going on in the first clip

Profilbild von Luis
Luisvor 8 Tagen

But why is it fucking the cockroach like that

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The Astra videos are fun. But I am trying a much cheaper setup with my laptop, around 11GB of open models and a $1.6k Unitree Go2 Air After one walk I can search what the dog saw and where it saw it. Next I want it to recognize those places when we go back and use that memory This is the Air, not the EDU model with official support for secondary development. It was not really built for this, which makes it more fun I drove it around my apartment (sorry for the mess) and (Dimensional) recorded frames along with LiDAR, odometry and transforms. Having the images and the robot's position in one recording gave me something to build on On the right of the video, the dog is map filling in with what it saw where. The left one shows what it detects Three very small and open models ran later on my laptop: SigLIP around 200M parameters, made the frames searchable. Qwen3-VL-8B in 4-bit through ollama described the selected views and checked search result Moondream2, from moondream supplied the object boxes All zero shot. We can upload the recordings and saved maps to the Dimensional cloud and download them later. The goal is for the Go2 to know where he is and where is what Next step is running this minimal stack on a 16 GB NVIDIA Embedded Jetson mounted on the Go2 Air

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I'd like to take a second to discuss what it means for a storm to be a Category 5. It's a beautiful, mesmerizing, terrifying and awe-inspiring pageant of power and elegance. It's the atmosphere at its most dynamic, raw and extreme. The hurricane has to have an absolutely perfect, undisturbed balance. It's an extremely rare feat. A Category 5 is like a spinning top whirring on a table; even the slightest jiggle can knock it off-kilter – like bumping the table. There must be virtually no shear, or changing winds with height. The upper-level winds around the system must be relatively calm. It's incredible to think that the planet's most furious storms are born out of an abundance of calm. The waters must be exceptionally warm – upwards of 86 degrees – to be replete with "oceanic heat content," or heat energy for the hurricane to draw upon. The warm waters heat and moisten the air above. That air rushes into the building hurricane. As air nears the center of the storm, it expands due to the hurricane's low pressure. That expansion releases heat energy to the environment, encouraging air to rise and powering the storm. In theory, that air parcel (pocket) should cool, but it doesn't. Why? It's still being heated by the oceans below. The ocean is constantly re-heating the lower atmosphere – and energizing the storm – at the exact same rate the air is releasing heat energy into the storm. Most of the moisture in the air condenses and produces rain, releasing even more "latent heat" to the environment. Near the hurricane's center, there's a lot of heat energy. So much so that the air rises, as if in a chimney. That rising air literally lifts air up and away from the surface. There's literally less air, and therefore less air weight, or *pressure*, at the center of the storm. Most Category 5 hurricanes are "missing" about 8-10 percent of the air from the middle. It's that deficit of air that behaves like a vacuum of sorts. Air from outside the storm rushes in to fill the void, like water spiraling into a sink drain. The greater the deficit, the faster the winds. The wind increases exponentially closer to the center of the storm; Category 5 hurricanes have winds over 157 mph. So why doesn't the eye, with the "missing" air, just "fill in?" Because the hurricane is rotating so furiously! The air is flung outwards by the "centrifugal force" at the exact same rate it's being pulled inwards by the "pressure gradient force." The air can never fully reach the eye – and instead it swirls around and around, like water perpetually sloshing around the edges of a toilet. We call that "cyclostrophic balance." Thus, the eye doesn't fill in. The storm charges on. And – until the system is torn apart by disruptive upper-level winds or moves over cooler waters/land – it continues.

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Love’s Ambition

36,668 Aufrufe • vor 11 Monaten

WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!
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WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!

GREG ISENBERG

30,787 Aufrufe • vor 13 Tagen