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README.md
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Note: As of 12 May 2024, ~1,300 hrs are ready for download. The remaining ~700 hours are still undergoing data cleaning and will be available for download by end May or early June.
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**Loom Video Explanation**
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In total, there were 9,000+ individual driving sessions recorded. The chart below shows the distribution of individual driving session duration.
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## About FrodoBots
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[**FrodoBots**](https://www.frodobots.ai/) is
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| ![Shopify_Madrid.gif](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/EOm26XBMsdvq96qLZxbri.gif) |
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## Motivations for open-sourcing the dataset
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The team behind FrodoBots is focused on building an
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## **Download**
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Download FrodoBots dataset using the link in this [csv file](https://frodobots-2k.s3.ap-southeast-1.amazonaws.com/complete-dataset.csv).
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Note: As of 12 May 2024, ~1,300 hrs are ready for download. The remaining ~700 hours are still undergoing data cleaning and will be available for download by end May or early June.
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**Loom Video Explanation**
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In total, there were 9,000+ individual driving sessions recorded. The chart below shows the distribution of individual driving session duration.
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## About FrodoBots
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[**FrodoBots**](https://www.frodobots.ai/) is a project aiming to crowdsource the world's largest real-world teleoperation datasets with robotic gaming.
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We have 3 core thesis:
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1. **Robotic gaming can be a thing**: It is possible to create fun gaming experience where gamers control robots remotely to complete missions in real life.
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2. **Affordable robots are just as useful in collecting data for Embodied AI research**: We design our robots to be like "toys", so that as many people as possible can afford to buy one and play with them.
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3. **DePIN can scale this project**: We can create a global community of robot hardware owners/operators by incentivizing them with well-designed tokenomics, taking best practices from other DePIN (Decentralized Physical Infrastructure Network) projects.
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| ![Shopify_Madrid.gif](https://cdn-uploads.huggingface.co/production/uploads/63be791624e75d1efdf6ce54/EOm26XBMsdvq96qLZxbri.gif) |
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## Motivations for open-sourcing the dataset
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The team behind FrodoBots is focused on building an real-world video gaming experience using real-life robots (we call it "robotic gaming"). A by-product of gamers playing the game is the accompanying dataset that's generated.
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By sharing this dataset with the research community, we hope to see new innovations that can (1) take advantage of this dataset & (2) leverage our existing fleet of community-sourced robots (via our Remote Access SDK) as a real-world testing of SOTA Embodied AI models.
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## Help needed!
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We are a very small team with little experience in various downstream data pipeline and AI research skillsets. One thing we do have is lots of real-world data.
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Please reach out or join our [**Discord**](https://discord.com/invite/AUegJCJwyb) if you'd have any feedback or like to contribute to our efforts, especially on following:
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- **Data cleaning**: We have way more data than what we've open-sourced in this dataset, primarily because we struggle with variuos data cleaning tasks.
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- **Data analytics**: We have done a couple charts but that's about it.
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- **Data annotations**: We have open-sourced the raw files, but it'll be great to work with teams with data annotation know-how to further augment the current dataset.
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- **Data visualization**: A lot more can be done to visualize some of these raw inputs (eg. layering timestamped data on top of the video footage).
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- **Data anonymization**: We'd like to build in various data anonymization (eg. face blurring) in future releases. We attempted to do this but struggled with downstream data manipulation issues (eg. dropped frames, lower video resolution, etc)
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- **Data streaming & hosting**: If this project continues to scale, we'd have millions of hours of such data in the future. Will need help with storage/streaming.
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## **Download**
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Download FrodoBots dataset using the link in this [csv file](https://frodobots-2k.s3.ap-southeast-1.amazonaws.com/complete-dataset.csv).
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