We’ve introduced a small but meaningful update to the Robotics app.
When creating a new demo run, you now have two model options:
- Default Surgical RL Model
- Humanoid RL Model
Selecting the Humanoid model loads a distinct wireframe agent in the 3D scene. The training process remains unchanged—same phases, same logic—but the representation is different.
This makes it easier to observe and compare how identical training behaves across different forms. It also improves the visual feedback during runs, especially when watching playback.
The goal here isn’t to change the underlying system, but to make it more interpretable and a bit more engaging to interact with.
You can try it here: https://phasma.biz
Feedback is welcome.
Just in case anyone missed the updates ! StaY AWAY !!!
I’m confused.
How can your DAO have control over your app which is created by caffeine . ai?
Surgical robotics and humanoid agent simulation are among the strongest real-world applications of reinforcement learning because they combine high complexity, high cost of mistakes, and the need for adaptive decision-making.
In surgical robotics, RL can be used to train systems that:
- Learn precise, repeatable instrument control
- Adapt to patient variability and unexpected conditions
- Improve performance through simulation before real-world deployment
In humanoid agent simulations, RL is used to:
- Teach locomotion like walking, balancing, and running
- Develop full-body coordination (arms, hands, posture)
- Train safely in virtual environments with massive trial-and-error
The key advantage is simulation-first learning: agents can fail millions of times in a virtual world, learn from it, and transfer those skills to real systems with reduced risk.
Don’t listen to the FUD.
