thuml/iVideoGPT

Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223

42
/ 100
Emerging

This project helps robotics researchers and engineers to predict future actions and visual outcomes for robotic systems. By taking existing records of how robots manipulate objects (like pick-and-place tasks or general interaction), it generates predictions of what the robot will do next or what the environment will look like. It's designed for those developing or evaluating advanced robotic control systems.

172 stars. No commits in the last 6 months.

Use this if you are a robotics researcher or engineer building or evaluating advanced robot control systems and need to predict future robot actions or environmental states based on past data.

Not ideal if you are looking for an out-of-the-box solution for immediate real-world robot deployment without deep technical understanding of model-based reinforcement learning.

robotics robot-control robot-learning motion-prediction visual-planning
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

172

Forks

17

Language

Python

License

MIT

Last pushed

Sep 23, 2025

Commits (30d)

0

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