frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

Open in hackernews

Show HN: Train and deploy your own open-source humanoid in Python

https://github.com/kscalelabs/ksim-gym
13•codekansas•4h ago
Hi HN, I’m Ben, founder of K-Scale Labs (YC W24).

Last year, I wanted to buy a humanoid robot that I could hack on, but the few options for sale were either too expensive, proprietary, or had a limited SDK. We set out to build an affordable humanoid robot using off-the-shelf components that can be built and shipped today, capable of running modern machine learning models, and make it completely open-source for developers like me.

Today, we’re releasing our reinforcement learning library and sim2real pipeline for people who want to train policies for humanoid robots.

If you have a computer, you can try out this pipeline in less than 5 minutes: https://github.com/kscalelabs/ksim-gym

Or try on Colab: https://colab.research.google.com/github/kscalelabs/ksim-gym...

Getting started is as easy as:

git clone https://github.com/kscalelabs/ksim-gym.git

cd ksim-gym

pip install -r requirements.txt

python -m train

After training a model, you can send it to us and we will run it on one of our robots. We are building a benchmark for humanoid RL policies here: https://kscale.dev/benchmarks

—

Why does the world need another humanoid robot company?

In the last year, humanoids have gone from science fiction to a seeming inevitability, bringing huge investment in the hardware supply chain and machine learning methods for robotics. But watching the ecosystem unfold, I felt pretty pessimistic about where things were headed. Seeing lots of cool demos without something that I can actually buy, from companies that have raised huge sums of money, reminded me of the early days of self-driving cars. On top of that, I find the idea of a small handful of companies building humanoid robots to be pretty dystopian. Even today, we’re seeing consumer robots being sold with government-mandated backdoors. That is not the future that I want to live in.

To that end, our company has three long-term goals:

1. Ensure that the world’s best humanoid robots are white-box systems that anyone can program and audit 2. Create the infrastructure to radically simplify developer adoption of humanoid robots, paralleling CUDA for GPU programming or PyTorch for machine learning 3. Build an ecosystem to accelerate humanity’s transition to a post-scarcity Type 1 Kardashev civilization whose gains are maximally distributed

If you would like to support us, you can pre-order one of our robots. We plan to launch the first robots this summer and are heavily discounting the price for early customers who can help us safely iterate on deploying robots in the wild: https://shop.kscale.dev

Since we are focusing on creating a developer ecosystem, we would love to hear your thoughts and feedback about our current software and hardware stack:

- Is this exciting to you? What would make you want to start developing on a humanoid robot? - What form factor is the most interesting for you (in terms of height, reach, end effector, or other hardware considerations)? - As a customer, what software capabilities would you expect from a humanoid robot in order to buy it?

We would love your feedback!

Comments

Razied•2h ago
Super cool library guys, I think this is by far the quickest way and most painless way to train a humanoid policy. I tried messing around with mujoco and isaaclab stuff a while ago, and it was truly horrible.

A bit more of a hardware question: how modular are the robots? I'm looking at the feet and hands in particular and thinking that there are a bunch of applications where purpose-build parts would work much better than the current ones you have there. I understand the arguments for a humanoid form-factor, but I think flat feet are making it much harder than it should be to get a robust locomotion policy, and training hand-dexterity is also unbelievably hard. Seems like the path of least resistance to usefulness is to have an array of different hand attachments.

modeless•2h ago
On the K-Bot prototype I saw at their open house recently, the hands were easily swappable on a camera lens style mount.
alihkw_•2h ago
Kscale Engineer here: The hands are easily swappable using a camera lens style mount. We've tried a couple different hands, the main challenge is they have to fit many actuators in a small footprint.

The feet can also be changed, but not as easily. The bottom of the foot is screwed in.

Flat feet are interesting, the feet are actually a bit curved, they are designed that way to match their counterpart in sim which uses Mujoco's capsules.

I am personally very excited about hot swappable hands!

Computational Public Space – Bret Victor [video]

https://www.youtube.com/watch?v=PixPSNRDNMU
1•wbrbr•30s ago•0 comments

Show HN: Python Simulator of David Deutsch’s "Constructor Theory of Time"

https://github.com/gvelesandro/constructor-theory-simulator
2•SandroG•3m ago•0 comments

Multi-Agentic System Threat Modeling Guide v1.0

https://genai.owasp.org/resource/multi-agentic-system-threat-modeling-guide-v1-0/
1•mooreds•5m ago•0 comments

Ed Helms Dives into Disaster

https://www.newyorker.com/magazine/2025/05/12/ed-helms-dives-into-disaster
1•mooreds•7m ago•0 comments

In-Game Items Gifting

1•novag•8m ago•0 comments

Why Every Generation Thinks It Was the Last to Touch Real Life

https://www.clickworlddaily.com/2025/05/why-every-generation-thinks-its-last.html
1•versiqcontent•13m ago•1 comments

Show HN: DeepShot – an open-source NBA predictor with ML, EWMA, and live UI

https://github.com/saccofrancesco/deepshot
1•saccofrancesco•13m ago•0 comments

LLM text chat is everywhere. Who's optimizing its UX?

https://xenodium.com/llm-text-chat-is-everywhere-whos-optimizing-ux
1•xenodium•13m ago•0 comments

You Can't Build AI Systems with Jira Tickets

https://medium.com/@deheng.infra/the-hardest-part-of-rag-its-not-retrieval-7605d3d68121
1•sam890306•14m ago•2 comments

Emacs pretest 30.1.90

https://lists.gnu.org/archive/html/emacs-devel/2025-05/msg00409.html
2•gjvc•17m ago•0 comments

Show HN: B2Brilliant – From discovery to campaign in minutes, not months

https://www.b2brilliant.app/
1•h8ngryDev•18m ago•0 comments

Leveraging Spaced Repetition to Power My Weekly Newsletter

https://news.alvaroduran.com/p/leveraging-spaced-repetition-to-power
1•ohduran•23m ago•0 comments

Hit hardest in Microsoft layoffs? Developers, product managers, morale

https://www.seattletimes.com/business/hit-hardest-in-microsoft-layoffs-developers-product-managers-morale/
4•gammadist•26m ago•0 comments

Regarding South Africa and Grok

https://thezvi.substack.com/p/regarding-south-africa
3•ZeroTalent•35m ago•0 comments

Brain on GPS

https://www.theglobeandmail.com/opinion/article-we-should-turn-off-gps-its-a-no-brainer/
2•jack_peplinski•35m ago•0 comments

Why you should work 4 hours a day, according to science

https://theweek.com/articles/696644/why-should-work-4-hours-day-according-science
4•thunderbong•35m ago•3 comments

Researchers infiltrated a popular Reddit forum with AI bots

https://www.nbcnews.com/tech/tech-news/reddiit-researchers-ai-bots-rcna203597
3•valeg•36m ago•1 comments

The Butterfly Effect

https://www.rxjourney.net/the-butterfly-effect
1•bertblaast•45m ago•0 comments

Chevrolet Silverado for long-distance towing [video]

https://www.youtube.com/watch?v=m6mHX9f35zk
1•CaliforniaKarl•45m ago•0 comments

Show HN: AI Pomo – A Pomodoro timer that tracks time per project

https://ai-pomo.com
1•hiruben•48m ago•0 comments

Ask HN: What are your most useful custom LLM prompts?

1•quibono•49m ago•0 comments

Particles carrying multiple vaccine doses could reduce follow-up shots

https://news.mit.edu/2025/particles-carrying-multiple-vaccine-doses-could-reduce-need-follow-up-shots-0515
3•gmays•50m ago•0 comments

What Is This Thing Called Swing?

https://www.ds.mpg.de/swing
2•Tomte•51m ago•0 comments

Empowering multi-agent apps with the open Agent2Agent (A2A) protocol

https://www.microsoft.com/en-us/microsoft-cloud/blog/2025/05/07/empowering-multi-agent-apps-with-the-open-agent2agent-a2a-protocol/
1•owebmaster•52m ago•0 comments

A forward and reverse proxy primer for the layman

https://spapas.github.io/2021/09/21/layman-proxy-primer/
2•spapas82•55m ago•1 comments

Flight Simulator Gave Birth to 3D Video-Game Graphics

https://spectrum.ieee.org/microsoft-flight-simulator
1•Tomte•57m ago•1 comments

How the graphical user interface was invented (1989)

https://spectrum.ieee.org/graphical-user-interface
3•andsoitis•59m ago•0 comments

Tesla Cybertruck Trade-Ins

https://www.torquenews.com/11826/tesla-starts-accepting-cybertruck-trade-ins-according-tesla-cybertruck-loses-35000-over-6000
3•jrflowers•1h ago•3 comments

How to choose a STT provider for your voice agent?

https://comparevoiceai.com/blog/how-to-choose-stt-voice-ai-model
1•whoami_nr•1h ago•0 comments

Do these Buddhist gods hint at the purpose of China's super-secret satellites?

https://arstechnica.com/space/2025/05/do-these-buddhist-gods-hint-at-the-purpose-of-chinas-super-secret-satellites/
2•rbanffy•1h ago•0 comments