strands-labs/robots-sim
Simulated environments for robot agent evaluation and reinforcement learning.
This project helps robotics researchers and engineers test and refine robot control strategies using natural language commands in a simulated environment. You input a natural language instruction like "Pick up the red block", and it outputs a video recording of the robot's performance in a virtual world, along with success metrics. It's designed for those who develop or evaluate robot learning algorithms.
Use this if you need to rapidly prototype and test robot agent behaviors and policies, especially those controlled by natural language, without the need for expensive and time-consuming physical robot hardware.
Not ideal if you are looking for a pre-trained, production-ready robot control system for immediate real-world deployment.
Stars
22
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 25, 2026
Commits (30d)
0
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