metadata
title: GenSim
emoji: π
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 3.39.0
app_file: app.py
pinned: false
license: apache-2.0
Generative Simulation Interactive Demo
This demo is from the paper:
Below is an interactive demo for the simulated tabletop manipulation domain, seen in the paper section IV.D
Preparations
- Obtain an OpenAI API Key
Usage
- Type in desired task name in the box. Then GenSim will try to run through the pipeline
- The task name has the form word separated by dash. For instance, 'place-blue-in-yellow' and 'align-rainbow-along-line'.
Guideline
Known Limitations
- The code generation can fail or generate infeasible tasks.
- The low-level pick place primitive does not do collision checking and cannot pick up certain objects.
- Top-down generation is typically more challenging if the task name is too vague or too distant from motions such as stacking.
Note
For GPT-4 model, each inference costs about $0.3. For GPT-3.5 model, each inference costs about $0.03.
Acknowledgement
Thanks to Jacky's code-as-policies demo.