# UT-Austin-RPL/TRILL

<https://repo.masters-masters.com/en/repos/UT-Austin-RPL/TRILL>

[Home](https://repo.masters-masters.com/en) › [UT-Austin-RPL](https://repo.masters-masters.com/en/owners/UT-Austin-RPL) › [TRILL](https://repo.masters-masters.com/en/repos/UT-Austin-RPL/TRILL)

UT-Austin-RPL/TRILL has 126 stars on GitHub. Its RepoMasters card: Prototype tier. Official codebase for TRILL (Teleoperation and Imitation Learning for…

| Field | Value |
| --- | --- |
| Owner | [UT-Austin-RPL](https://repo.masters-masters.com/en/owners/UT-Austin-RPL) |
| Stars | 126 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | deep-learning, humanoid-robot, imitation-learning, robotics, virtual-reality, whole-body-control |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [UT-Austin-RPL/TRILL](https://github.com/UT-Austin-RPL/TRILL) |

## Repository

Official codebase for TRILL (Teleoperation and Imitation Learning for Loco-manipulation)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.