IliaLarchenko/behavior-1k-solution

1st place solution of 2025 BEHAVIOR Challenge

49
/ 100
Emerging

This project provides a leading solution for training robots to perform complex household tasks, like making popcorn or watering plants, based on visual and physical feedback. It takes in demonstration data of these tasks (images and robot movements) and outputs a trained policy that enables a robot to successfully replicate these actions. Roboticists, AI researchers, and developers working on embodied AI would use this to advance robot autonomy.

254 stars.

Use this if you are a roboticist or AI researcher aiming to train robots for intricate, multi-stage manipulation tasks in simulated or real-world environments.

Not ideal if you are looking for a general-purpose robotic control library without specific interest in vision-language-action models or complex task execution.

robotics robot-learning embodied-ai robotic-manipulation autonomous-agents
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 13 / 25
Community 16 / 25

How are scores calculated?

Stars

254

Forks

29

Language

Python

License

Apache-2.0

Last pushed

Jan 24, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/IliaLarchenko/behavior-1k-solution"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.