# robosimstudio/robosimstudio

> An open interactive GPU toolkit for rebuilding real robot manipulation tasks in simulation, by hand or with a coding agent (Real2Sim).

- Magnitude: 4.3 out of 10 — Early signal
- Stars: 99 total · +6 stars measured 2026-10-15, 08:13–09:50 UTC, ≈ 38 by evening
- Star trust: star growth looks organic
- Category: Hardware, IoT & robotics · Language: Python · License: Apache-2.0 · Created: 2026-10-12 · Last push: 2026-10-14
- GitHub: https://github.com/robosimstudio/robosimstudio · Page: https://gitnova.dev/en/r/robosimstudio/robosimstudio

## Useful for

- Build a simulation environment for a manipulation task from a video using Codex or Claude Code
- Manually reconstruct a robot and object scene in the interactive viser studio
- Run examples from examples/ to quickly start simulating with Newton and MuJoCo Warp

## Why it’s here

- Star-counter measurements on 2026-10-15 (UTC), 08:13–09:50: 93 → 99 stars (+6). This is the change over that interval.
- Estimated end-of-day forecast: about +38 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 99 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #190.

## 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: 4
- Issues and pull requests: 7
- Watchers: 0
- Average over the last week: 31 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 5

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-10-12 … 2026-10-15: 0, 1, 84, 6

## Spotted in now

- Top new repositories this week: #190

## Similar by description

1. **AetherLabsAI/Video2World** — 1.0 · Steady · AI agents · Python · +3 stars measured 2026-10-15, 00:29–10:00 UTC, ≈ 7 by evening
   A benchmark for evaluating coding agents on the task of automatically building interactive simulators from embodied robot and human videos. It includes 222 instances across 39 task families with geometry, dynamics and functionality metrics.
   Full card: https://gitnova.dev/en/r/AetherLabsAI/Video2World.md
2. **zjwzcx/Awesome-Astra-Embodied-AI** — 0.9 · Steady · Learning & lists · +2 stars measured 2026-10-15, 00:30–10:00 UTC, ≈ 4 by evening
   A curated collection of demos and cases of GPT-6 Astra in embodied AI and robotics: zero-shot control, deployment in simulation and on real robots, RL training, and real-to-sim replay.
   Full card: https://gitnova.dev/en/r/zjwzcx/Awesome-Astra-Embodied-AI.md

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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 2026-10-15 10:04 UTC, updated every 30 minutes.