Peter Okiokpa

Documenting Robotics & Physical AI @theaibothub.
Contrib. @cybernetic_lab.
Co-lead: @thesoftmatichq.

[Eren Chen @ErenChenAI]

The full LadderMan podcast episode is finally live! 🪜

LadderMan is one of the most interesting papers recently: instead of just walking on flat ground or doing flashy demos, it tackles a very real-world capability — letting humanoid robots climb ladders with perception, planning, and whole-body control.

To me, this is exactly the kind of work that pushes robots closer to actually operating in human environments.

Huge thanks again to @SihengZhao , @chris_j_paxton, @TheHumanoidHub, and @JefferyXu4 for joining the discussion.

The full episode is a bit long, so I’ll be cutting some of the best moments into shorter clips and sharing them soon.

[Eren Chen @ErenChenAI]

https://t.co/8SW0uNlMzg

[Financial Times @FT]

Robots, not chatbots, will realise AI’s potential https://t.co/XA8R6wg3GX

[Ilia @IliaLarchenko]

I placed 🥈 2nd in the LeHome Challenge (at @ieee_ras_icra 2026) earlier this month, and before that I was 🥇 1st of 62 teams in the simulation round. Now I am sharing my solution — with a detailed logic walkthrough and open-source code.

The task was to teach a cheap two-armed robot to fold different garments in simulation and on a real robot.
I trained a VLA policy with an RL loop to make it work. Let's break it down 👇

[Jack 🤖 @JacklouisP]

https://t.co/MVe6ERNRXP

[NVIDIA Robotics @NVIDIARobotics]

One last wave from #Automate2026. 👋

Now it's time for a Chicago deep dish. 🍕

🤖 @AGIBOTofficial

[Peter Okiokpa @peterokiokpa]

@JacklouisP value of automating / cost to automate >/= The hurdle.

[Cybernetic Labs @cybernetic_lab]

value of automating / cost to automate > or = the hurdle

🤖💰

[Fabrizio Romano @FabrizioRomano]

🚨🇵🇹 Cristiano: “I know that whoever works hard, God helps him. It was a tough week, a dark one, it started as if I had retired from football”.

But I held on as I always hold on because I believe in work more than football. It was tough, I have to admit, but we came back”.

[AML @alysha_lobo]

🚨: New Article Drop

🔥HOT TAKE - The robots doing backflips on stage are NOT the robots that will ever unload your dishwasher.

We've spent sixty years and several billion dollars chasing Rosie from The Jetsons, and what we've actually built is a machine that can stick a landing and a Roomba that bumps into furniture.

New piece for @nextupindia on why the home doesn't need a robot shaped like us — and what's coming instead.

Thank you @RahulSanghi1 for not just pushing me to write this piece, but working on edits, images and piecing it together with me - you're truly a wizard!

Link to article: https://t.co/CNnWTFisit

[AIBot Hub @theaibothub]

As AI moves from chatbots and software into robots operating in the real world, a critical question is emerging: who will control the intelligence behind the machines of the future?

Today, much of the AI ecosystem is dominated by a handful of technology giants that control the chips, cloud infrastructure, data, and foundation models powering modern AI. But a growing decentralized AI movement believes there is another path; one where intelligence is distributed across open networks rather than owned by a few companies.

This article explores whether decentralized AI platforms like @Bittensor and emerging Physical AI networks could challenge the growing influence of Big Tech in robotics. Can robotic intelligence be built through shared data, distributed compute, and open participation? Or will the enormous resources of major technology companies make centralized control inevitable?

As robotics becomes one of the largest technology opportunities of the next decade, the debate is no longer just about building smarter robots. It's about ownership, control, and who benefits from the intelligence that powers them.

Read the full article to explore the rise of decentralized AI, the challenges it faces, and why the future of robotics may depend on finding the right balance between open networks and Big Tech infrastructure.

[AIBot Hub @theaibothub]

https://t.co/a3BB7FaiUB

[Peter Okiokpa @peterokiokpa]

this is a good test because it brings together perception, grasp precision, placement accuracy, and teleoperation quality in one simple task.

[Almond Robotics @almond_robotics]

Axol packs AirPods.

[NVIDIA Robotics @NVIDIARobotics]

Deploy safe robots without rebuilding safety from scratch. 🦾

NVIDIA Halos for Robotics extends the Halos safety system, built on 18,000+ engineering years of AV safety engineering, to industrial robots, humanoids, and AMRs, combining AI compute and functional safety in one platform.

Now available: Halos Core on IGX and the open-source Halos Outside-In Safety Blueprint.

Get started: https://t.co/Sf4QbSv6cd

#Automate2026

[Softmatic Academy @thesoftmatichq]

Learning robotics is a journey, not a race. The engineers who make the fastest long-term progress are usually the ones who master the basics first, build consistently, and add complexity one layer at a time instead of trying to learn everything at once.

[Peter Okiokpa @peterokiokpa]

you just have to trust and be willing, because sometimes the parts of the journey that feel uncertain or delayed can still become part of something meaningful later on. it's just how He works.

[Joyce Meyer @JoyceMeyer]

God can use every twist and turn of your journey to create something new. #JoyceQuote

[Joyce Meyer @JoyceMeyer]

God can use every twist and turn of your journey to create something new. #JoyceQuote

[Peter Okiokpa @peterokiokpa]

genuine enthusiasm is one of those things that makes people memorable.

[Mads @madsf88]

i love enthusiastic people. nothings better than someone who gets genuinely excited about the little things

[Peter Okiokpa @peterokiokpa]

@madsf88 genuine enthusiasm is one of those things that makes people memorable.

[Mads @madsf88]

i love enthusiastic people. nothings better than someone who gets genuinely excited about the little things