Viso Franc

Roboticist

[Stocko 🦾 @_Stocko_]

imagine the smell

[Viso Franc @visofranc]

Countries don’t win because of apps.

They win because of:
– energy
– manufacturing
– supply chains
– control systems
Apps sit on top.
Foundations decide who stays relevant.

[Viso Franc @visofranc]

“Learn to code” was phase one.

Phase two is:
Can you interface with reality?
Sensors. Motors. Noise. Latency. Power.

The real world doesn’t care about your abstraction.

[Viso Franc @visofranc]

@Jaden_Core Cubase is so powerful but you’ll miss a lot of ableton’s features like clip envelopes and mpe automation per note and many features, hope you doing well on cubase journey

[Zhou Xian @zhou_xian_]

Everything you love about generative models — now powered by real physics!

Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics simulation platform designed for general-purpose robotics and physical AI applications.

Genesis's physics engine is developed in pure Python, while being 10-80x faster than existing GPU-accelerated stacks like Isaac Gym and MJX. It delivers a simulation speed ~430,000 faster than in real-time, and takes only 26 seconds to train a robotic locomotion policy transferrable to the real world on a single RTX4090 (see tutorial: https://t.co/bEkIlCKqdf).

The Genesis physics engine and simulation platform is fully open source at https://t.co/DhBv7NdyqH. We'll gradually roll out access to our generative framework in the near future.

Genesis implements a unified simulation framework all from scratch, integrating a wide spectrum of state-of-the-art physics solvers, allowing simulation of the whole physical world in a virtual realm with the highest realism.

We aim to build a universal data engine that leverages an upper-level generative framework to autonomously create physical worlds, together with various modes of data, including environments, camera motions, robotic task proposals, reward functions, robot policies, character motions, fully interactive 3D scenes, open-world articulated assets, and more, aiming towards fully automated data generation for robotics, physical AI and other applications.

Open Source Code: https://t.co/DhBv7NdyqH
Project webpage: https://t.co/SBNyhFB0yn

Documentation: https://t.co/3yuBoaealV

1/n

[Karol Hausman @hausman_k]

Getting closer

[Mohit Mishra @chessMan786]

CPU vs FPGA
- what an easy and well explanation in 25 seconds

[Dusk @dawnbreak3r104]

You ever design something that you wish you could afford to make? Here's an early exoskeleton I developed about 3 years ago for a close friend of mine who couldn't use their arms.

One day I will get there

[Linus ✦ Ekenstam @LinusEkenstam]

Best visual I’ve seen of the inside of a Neural network, a CNN to be precise.

[Tony Zhao @tonyzzhao]

Robots are not ready to take over the world yet! @zipengfu and I just compiled a video of the dumbest mistakes 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 made in the autonomous mode 🤣

We are also planning to organize some live demos after taking a break. Stay tuned!

[Tony Zhao @tonyzzhao]

Introducing 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 -- Hardware!
A low-cost, open-source, mobile manipulator.

One of the most high-effort projects in my past 5yrs! Not possible without co-lead @zipengfu and @chelseabfinn.

At the end, what's better than cooking yourself a meal with the 🤖🧑‍🍳

[Viso Franc @visofranc]

@theblogsroom 😂😂😂😂😂😂

[Viso Franc @visofranc]

@theblogsroom 😂😂😂😂😂😂

[Viso Franc @visofranc]

@mukulsharma1419 😂😂😂😂😂😂

[𝐌𝐢𝐥𝐩𝐢𝐱™ @Milpixtwit]

トルソー続き。徐々にヤン車感というかパチンコ台感というか、北関東テイストが出てきた…360内蔵レンダラー使用で黒ベースの見映えを考えると、自分の技量ではこうせざるを得ない。このモデルはちょっと加工して終わる予定だったが、気が変わった。マシン能力の限界まで作り込んでみる

[Bjørn Karmann @BjoernKarmann]

Introducing – Paragraphica! 📡📷
A camera that takes photos using location data. It describes the place you are at and then converts it into an AI-generated "photo".

See more here: https://t.co/Oh2BZuhRcf
or try to take your own photo here: https://t.co/w9UFjckiF2

[Naomi Wu 机械妖姬 @RealSexyCyborg]

Okay in response to @TubeTimeUS's request, some of my favorite Chinese Makers (the real kind, not the entrepreneurs calling themselves Makers with no technical skills)

First up, 稚晖 and his self-driving bicycle, complete (really good) build video here: https://t.co/edjHcPOjUj

[Art of Life 🦋 @Art0fLife_]

How to win this year:

- No porn
- Lift weights
- Get outside
- Cancel cable
- Eat real foods
- Read old books
- Call your parents
- Toss TV off bridge
- Build cash reserves
- Honor your ancestors
- Spend more time with family

What would you add?

[Jeremy Fielding @jeremy_fielding]

Take a minute to consider this was designed in 2d on paper before CAD, element analysis, calculations done with slide rules (no calculators) and probably 100 section views in the drawing. AND this engine is still a marvel of engineering today. Just saying… WOW

[James Gingerich #B2B #Technology #Influencer @jamesvgingerich]

Microbots. You need a microscope to see them. How will they be used? (Cheddar Gadgets) #Robotics