I enjoy learning about robots, the various manufacturers and what they're capable of. I started this directory of sorts to discover and track the capabilities of different robots. The goal is to benchmark and catalogue capabilities, reviews and maintenance in a comparable manner and quickly expose people to the world of robots. It's called omblet.com

Hellloooo!

This is a small RL project I've been working on. A simulated Franka Panda learns to pick up a cube and put it on a target pad, using PPO from Stable-Baselines3 in PyBullet.

The main objective of this project was to get an understanding of PyBullet and how the whole workflow of training a robot using reinforcement learning works.

Further updates will be to combine this with a text or voice prompt enabling the user to choose which cube to pick and place at a desired location.

Any further upgrades or inputs are highly appreciated from everyone here!

Checkout the code here: GitHub

Meet Nyro, a 3D-printed desktop companion robot with an expressive owl face, a moving head, and a few friendly hoots. 🦉

#robotics #embodiedai #ai #3dprinting

the CAD design of my Humanoid robot, _selling

How good would it be?

We’re excited to join IROS 2026, bringing Nexdata’s latest data resources and services for Physical AI to the global robotics community.
At Booth #640, we’ll showcase different types of data supporting robot learning and model development, including Teleoperation, UMI, Ego-Centric, Simulation, World Model, and more.

We’ll also introduce our Bespoke capabilities across data collection, data annotation, and model validation, supporting different data requirements throughout Physical AI model development.
📍 Pittsburgh, Pennsylvania, USA
📅 September 27 – October 1, 2026
📌 Booth #640

Heading to IROS 2026? Stop by Booth #640 and talk with our team about your Physical AI data needs.