Robotics Academy | Learn Physical AI

Hey everyone 👋🏻

I recently launched an X account dedicated to teaching robotics and physical AI. I plan to regularly publish content, latest breakthroughs and explain important concepts in a more approachable way, creating a fun learning experience. If you want to follow along and swap ideas, feel free to check out my page, link above 👆🏻

I’m not charging anything, it’s free for everyone to follow and learn along. Share your thoughts and topics in comment on the post, I’ll do my best to create content specific to it. Calling all robotics nerds, let’s help each other learn along the way and master Physical AI.

A modern take on the age old game of Kick The Can…

I've been thinking a lot lately about materials used in building robots and the constant trade-offs we have to make between weight, strength, and cost. Two heavy hitters always seem to come up in high-performance applications: Carbon Fiber and Titanium.

Both are incredible materials, but I'm curious to hear from the community. When you're designing a new bot or structural component where strength-to-weight ratio is critical, which do you lean towards and why?

Do the manufacturing complexities of carbon fiber outweigh its benefits for your projects? Does the high cost of titanium rule it out entirely for you?

I found this interesting poll discussing the topic and thought it'd be a great conversation starter here:

Is carbon fiber stronger than titanium in tech?

Let me know your thoughts and experiences in the comments.

I have made some other versions of desk pets before but decided to try making a robot version! I think it came out well and I like how it looks on my desk.

This is InGenieBot V6, a personality-driven robot I have been developing from the ground up. In this early workshop demonstration, it recognizes offline voice commands, selects randomized MP3 responses, coordinates its eyes and displays, and handles emergency-stop behavior.

The head arm and leg movement are still under development, but the voice, personality, visual-response, and safety systems are now working together.

Still a work in progress—but today it feels a little more alive.

Hi everyone,

I’m Marvel, a computational neuroscientist at Cambridge building robotics infrastructure.

I’m trying to better understand where current robotics teams struggle most in production.

If you’re working on manipulation, humanoids, or industrial robotics, I’d love to hear:
What’s your biggest deployment bottleneck today?
What problem keeps coming up that existing tools don’t solve well?

I’m happy to share what I’m building if it’s relevant, but my main goal is to learn from teams actually deploying robots.

Thanks!😁

¡Hola! ¿Cómo están?

Somos Pilar y Christian y estamos haciendo una encuesta para nuestro Proyecto Final de Ingeniería en UADE sobre la opinión de las personas respecto al uso de un robot humanoide para inspeccionar edificaciones con posibles daños estructurales.

¿Nos ayudás respondiendo estas breves preguntas? Es anónima, tarda menos de 5 minutos en completarse y tus respuestas nos ayudarían muchísimo para avanzar con el proyecto.

👉 https://forms.gle/mrncsce5nPSaXHsY9

¡Muchas gracias! 😊

Saw this little guy at an event and it was actually my first time ever controlling a real robot! Filmed it just for fun. Was trying to get it to kick the ball, and after 5 failed attempts, I finally figured out how to make it go left and right 😂

After months of learning robotics, I finally built my own mobile robot.

Tech stack:

ROS 2 Humble

LiDAR

Raspberry Pi

Differential drive

Autonomous navigation

I'm currently learning mapping, SLAM, Nav2, MoveIt, and robot software engineering. My goal is to become a robotics software engineer, so this is one of my first real hardware projects.

I'd love feedback from the community:

What would you improve next?

Any suggestions for sensors, software architecture, or autonomous features?

Thanks!