u/eck72

ahaha, it's 1.2m

ah, we're stil improving it. The policy & the training code is open too, and we'd be really happy to get your comments. https://github.com/menloresearch/cyclotron/tree/main

We love Chappie!

haha, open to music suggestions! Trust me, the lab conversations are better left unheard

Short answer: If you want to go with Asimov 1, it takes around 20 hours to build if you follow the user manual, but expect 100+ hours if you're learning as you go, breaking and fixing things along the way.

I'm not an expert on learning paths, but I think learning by doing is one of the best ways in - just start somewhere. Asimov 1 is a good project to learn from, but it's a big one. I'd start with a simple robotic arm, it might be easier. Hugging Face has great resources for this through LeRobot, and the SO-101 arm is a really nice first project. Agents can also help a lot when you get stuck.

For the full robot walking in the video, if you're sourcing all the parts yourself, it's around $30k. We've published the full BOM so people can source parts for specific projects, like just the legs or the arms Really encourage people to start by building parts of it using the BOM.

https://reddit.com/link/19rffyjwdrmmb/video/8a80rkwykswh1/player

We've also opened a DIY kit version that we bulk order for the community, which brings the price down to $20k, covering D2D shipping and tariffs.

Appreciate it!

A lot of it is printable. We use MJF PA12 nylon for the printed parts, so those you can print for testing at home. The frame is 7075 aluminum, and the actuators and electronics are off-the-shelf. So, for prototyping you'd print the plastic parts and buy the rest.

For training data, the locomotion policy is trained in simulation with Isaac Lab or MJLab using the MJCF/URDF models we publish. The training code is open too, so you can retrain it for your own gait or terrain. Beyond walking, the SDK streams joint states, currents, temperatures, IMU data and 720p video, so you can log real-world data and train skills on it for your own use case. We're also building teleoperation on top of that.

Quick links. The materials are broken down here, and the full parts list is here. Sharing this one for you to check SDK capabilities.

We need more benchmarks for humanoids. We're on it!

I think your comment is also a good chance for me to open a thinking exercise on how we think about agentic robots.

We can borrow Kahneman's System 1 and System 2 idea - system 1 is fast and automatic, like catching a ball, and System 2 is slow and deliberate, like planning your day. It could work for agentic robotics. The agent is System 2, thinks things through and decides what to do. The skills are System 1, react fast and turn those decisions into commands. Under them, the walking policy and the motors handle the movement, so the agent never has to think about moving a joint.

Interesting that building an ecosystem where agents can understand the robot and its communication layer, and also train their own skills to live among us.

Might be a bit off here since I'm simplifying things.

lol I like the Fallout aesthetic though

Thanks! We took a lot of inspiration from old retro technical tutorials! Claude Code, a bit of Kling, ElevenLabs and a few custom skills helped us a lot. Planning to keep the same style for the manual videos!

Appreciate it! It walks, talks and can be fully teleoperated. Worth saying though, Asimov 1 is for researchers & developers first. It's for people build their own stuff on top. Streets, rough pavement and the neighbor's lovely dog are all things you can train it for. That's what we do too! We customize Asimov 1 for enterprise pilots to automate tasks, and anyone can do the same

It's 160 parts across 7 modules, built from 7075 aluminum and MJF PA12 nylon. Runs on 25 actuators in 5 sizes, a Raspberry Pi 5 and a Radxa CM5 for compute, and a 491Wh lithium-ion battery.

It also has a camera, microphones, a speaker and an IMU.

We shared the BOM in the docs here: https://docs.menlo.ai/asimov/1/overview. Self-sourcing everything is around $30k

ah, sourcing all the parts yourself costs almost 50% more than buying from menlo.ai. We order in bulk to keep costs down and are not really big on hardware margin