# jianglongye/dexterous-astra

> Training artifacts from experiments in dexterous robot manipulation: simulated environments, zero-shot scripts, and trained checkpoints for pen spinning and Rubik's cube solving.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 106 total · +0 stars on 2026-10-03 (UTC), ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Hardware, IoT & robotics · Language: Python · Created: 2026-09-17 · Last push: 2026-09-17
- GitHub: https://github.com/jianglongye/dexterous-astra · Page: https://gitnova.dev/en/r/jianglongye/dexterous-astra

## Useful for

- Run the pen spinning policy with a trained PPO checkpoint in Isaac Lab
- Execute the zero-shot pen spinning planner without any training
- Run the scripted Rubik's cube controller in MuJoCo

## Why it’s here

- The repository is 16 days old and already has 106 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 0
- Watchers: 2
- Average over the last week: 0 per day
- Usual pace: 6 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

09-20 1.5, 09-21 0.8, 09-22 0.8, 09-23 1.1, 09-24 0.7, 09-25 0.6, 09-26 0.0, 09-27 0.0, 09-28 0.0, 09-29 0.0, 09-30 0.0, 10-01 0.0, 10-02 0.0, 10-03 0.0

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-03 07:28 UTC, updated every 30 minutes.