Alexander van der Steeg 🚀

Gewinne Kontrolle und Ordnung über Deine IT-Assets zurück!

Ich bin ein technischer Enthusiast und Lösungsfinder, der seit vielen Jahren versucht mit Technologie das Leben zu verbessern.

Durch meinen Werdegang und der offenen Art habe ich in rund 20 Jahren sehr viele Branchen, deren Probleme und Werte, kennengelernt und dort jeweils mein Glück gefunden.

Robotics & AI: simplified | 44.000+ Followers | @micropsi | Ex-Siemens

Most robotics companies have incredible tech. Nobody knows it exists.

Your LinkedIn post gets 400 views when it should get 40,000. Your launch disappears in 48 hours.

Meanwhile, mediocre companies with great storytelling sell more, raise larger rounds and recruit better talent.

The gap isn’t tech. It’s narrative reach.

I’ve built one of the largest dedicated distribution channels for robotics and automation worldwide:

120,000+ followers, 2,000,000+ weekly views reaching VCs, operators, engineers, and developers.

Companies pay me to amplify product launches and announcements to this audience.

Not generic PR. 

Storytelling from someone who’s operated inside 50+ robotics deployments at SIEMENS and understands what actually resonates.

If you’re launching a product, raising a round, or recruiting senior talent, and nobody’s paying attention… that’s a reach problem.

You built the product, I’ve built your distribution.

For select Series A companies, I also provide strategic advisory on commercial scaling:
helping you go from pilots to repeatable revenue systems. Limited.

Ilir Aliu

Open-source robot arm meets hand tracking
[📍GitHub below]

It is designed with an industrial mindset but built as a 3D-printed desktop system. 

PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become.

• Hand motion is streamed to the robot at 100 Hz via UDP
• A pneumatic gripper is controlled by simple fist open and close gestures
• The entire robot stack is open source, from mechanics to control software

Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces.

This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration

All without proprietary hardware or locked software.

Credit to @SourceRobotics

📍Code: https://lnkd.in/evJpDAB7


——

Weekly robotics and AI insights.
Subscribe free: scalingdeep.tech

AI & Robotics | 120k+ | Scaling Deep Tech

20 Open-Source Robotics Projects
- ON GITHUB -
[📍 Bookmark this or it will get lost]

20 projects that actually teach you how robots work, not just where to clone a repo.

	1.	Hugging Face Robotics Course with LeRobot
A complete open-source learning program that teaches robotics from scratch.
https://lnkd.in/d7ipvwjW

	2.	Open Robotics Hardware Hub
A central directory of open-source robotics hardware projects.
openrobhardware.org

	3.	ROSbot 2.0
An open-source mobile robot platform built for learning ROS in real industrial setups.
husarion.com

	4.	Magni
An affordable heavy-payload mobile base that can carry up to 100 kg.
ubiquityrobotics.com

	5.	Stanford Doggo
A fully open quadruped robot that teaches legged locomotion from scratch.
https://lnkd.in/dNkqK53p

	6.	ANYmal C
A state-of-the-art four-legged robot used in real industrial inspection research.
anybotics.com

	7.	JPL Open Source Rover
NASA’s six-wheel Mars-style rover, rebuilt with off-the-shelf components.
https://lnkd.in/eJg7WXNq

	8.	MuSHR
A low-cost autonomous race car for learning perception, control, and planning.
mushr.io

	9.	AWS DeepRacer
A 1/18th scale race car designed to train reinforcement learning models in the real world.
aws.amazon.com/deepracer

	10.	OpenManipulator
A fully open robotic arm stack from hardware to firmware and ROS integration.
https://lnkd.in/dH25Fj8X

	11.	Niryo One
A 3D-printed six-axis robotic arm for affordable manipulation research.
niryo.com

	12.	Poppy Project
A modular platform for building humanoid and bio-inspired robots.
poppy-project.org

	13.	OpenBionics
An open-source ecosystem for building robotic prosthetics and bionic devices.
openbionics.org

	14.	Nybble
An open-source robotic cat that teaches locomotion and low-cost actuator design.
petoi.com

	15.	TriFinger
A dexterous three-finger robot designed to learn fine manipulation.
https://lnkd.in/eBVvzHBJ

	16.	Open Dynamic Robot Initiative
A torque-controlled modular robot framework for advanced locomotion research.
https://lnkd.in/dbJ4idSH

	17.	Universal Robots ROS2 Driver
Official open ROS2 drivers for controlling UR industrial robot arms.
https://lnkd.in/dtFv6pE9

	18.	Autoware Foundation
The most widely used open-source autonomy stack for self-driving vehicles.
https://lnkd.in/dC7jr6TQ

	19.	Duckietown
A full learning ecosystem that teaches autonomy using small self-driving robots.
duckietown.com

	20.	TortoiseBot
An educational ROS robot designed for beginners to learn navigation and mapping.
https://lnkd.in/dj77n_9F


🔶 BONUS ONE:

PythonRobotics
A massive collection of Python implementations of core robotics algorithms.
https://lnkd.in/dpUZMFRw


♻️ Share this for better reach within the robotics community AND add your own projects below 👇 



—-

Weekly robotics and AI insights.
Subscribe free: scalingdeep.tech

1.7× faster inverse kinematics in pure Python, GPU-accelerated! Fully open-source and built for scale [📍Bookmark for later]

PyRoki, a modular toolkit for robot kinematic optimization, supporting
- inverse kinematics
- trajectory optimization, and
- motion retargeting.

Built for flexibility, but also fast:
- Runs on CPU, GPU, and TPU
- Outperforms cuRobo in speed, success rate, and accuracy
- Fully in Python, easy to integrate and extend

Whether you’re working with industrial arms, simulation environments, or humanoids, PyRoki is designed to fit your stack and scale with your hardware.

Website: https://lnkd.in/d4rzDyxB
Code: https://lnkd.in/diYsBX4b
Paper: https://lnkd.in/dywCbmv7

This one’s for researchers, builders, and anyone tired of debugging their IK stack.






——

Weekly robotics and AI insights.
Subscribe free: http://scalingdeep.tech

Humans usually guess what robots feel.
This system actually lets you feel it.

This is an end-to-end high resolution touch teleoperation demo built with Samsung. 

Real tactile signals from a robot hand were streamed directly into a human fingertip display and a glove in real time.

Most teleoperation has no sense of touch.

That makes delicate manipulation very hard.
High resolution tactile feedback can change this. It also creates better data for training physical AI

It is still early. 

Objects were dropped. 

Control is not perfect. 

But the direction is clear.

Some stats:

• A 22mm haptic fingertip display
• 32 tiny individually controlled actuators
• Tactile sensors in the robot fingers
• Live streaming touch data to the human

If robots are going to handle the real world, touch cannot stay optional.

Seen this at Fluid ￼Reality
Video: Joshua Jung


—-

Weekly robotics and AI insights.
Subscribe free: scalingdeep.tech

First fully open Action Reasoning Model (ARM); can ‘think’ in 3D & turn your instructions into real-world actions:

[📍 Bookmark for later]

A model that reasons in space, time, and motion.

It breaks down your command into three steps:
> Grounds the scene with depth-aware perception tokens
> Plans the motion through visual reasoning traces
> Executes low-level commands for real hardware

Think of it as chain-of-thought for physical action.

Give it an instruction like “Pick up the trash” and MolmoAct will:

1. Understand the environment through depth perception
2. Visually plan the sequence of moves
3. Carry them out… while letting you see the plan overlaid on camera frames before anything moves

It’s steerable in real time: draw a path, change the prompt, and the trajectory updates instantly.

AAAANNNDDD:
It’s completely open: checkpoints, code, and evaluation scripts are ALL PUBLIC!

Resources:
Models: tinyurl.com/4fzt3cht
Data: tinyurl.com/3b3skf3f
📍Blog: allenai.org/blog/molmoact

MolmoAct runs across different robot types (from gripper arms to humanoids) and adapts quickly to new tasks.

It outperforms models from major labs like NVIDIA, Google, and Microsoft on benchmark tests for generalization and real-world success rates.

For anyone building robotics systems or studying AI-driven action models, this is worth exploring… and worth sharing! ♻️

🎙️ Stephen James is the founder and CEO of Neuracore, and Assistant Professor of Robot Learning at Imperial College London:

In this episode, Stephen shares his path from growing up in Wales to spending a decade at Imperial, a postdoc at Berkeley, and eventually founding Neuracore. Not because he wanted to be a startup founder, but because he kept running into the same problem again and again: every robotics team rebuilding the same infrastructure from scratch.

We talk about what actually slows robotics teams down, why data pipelines matter more than clever algorithms, and how Neuracore aims to become the infrastructure layer that lets teams focus on deployment instead of plumbing.

Stephen also reflects on imposter syndrome, work ethic, moving between academia and industry, and why Europe can and should build its own robotics infrastructure instead of copying Silicon Valley playbooks.

A very honest conversation about building foundations, not hype, and why scaling robotics is mostly about removing friction.

Building Deep Tech #97
"Why Robotics Keeps Rebuilding the Same Infrastructure"
With Stephen James, Founder & CEO of Neuracore


🎧 Listen on Spotify:
https://lnkd.in/dtmUivbM

🎧 Listen on Apple
https://lnkd.in/d3EGj4MZ

🎬 Watch on YouTube:
https://lnkd.in/dJ8mURZM

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Alexander van der Steeg 🚀

Ilir Aliu

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taplio

The Battle

Alexander van der Steeg 🚀

Ilir Aliu

Followers

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ilir Aliu's LinkedIn Performance

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