liruiw/GenSim

Generating Robotic Simulation Tasks via Large Language Models

40
/ 100
Emerging

This project helps robotics researchers and engineers quickly create new simulated environments for testing and training robot control policies. By providing a high-level description of a desired robotic task, it generates the necessary simulation code and goal conditions. This allows users to efficiently build diverse scenarios, from simple object manipulation to complex assembly tasks, without manually coding each environment.

347 stars. No commits in the last 6 months.

Use this if you are a robotics researcher or engineer looking to rapidly generate diverse simulated tasks and environments for training and evaluating robot learning algorithms.

Not ideal if you need to create highly detailed or physically accurate simulations that require fine-grained control over every simulation parameter.

robotics simulation robot learning task generation robot control AI training environments
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

347

Forks

26

Language

Python

License

MIT

Last pushed

Mar 23, 2024

Commits (30d)

0

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