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README.md
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- self-driving
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- robotics navigation
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pretty_name: FrodoBots 2K Dataset
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features:
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- name: speed
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dtype: float32
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- name: angular
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dtype: float32
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- name: rpm_1
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dtype: int32
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- name: rpm_2
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dtype: int32
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- name: rpm_3
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dtype: int32
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- name: rpm_4
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dtype: int32
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- name: timestamp
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dtype: float64
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---
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## Dataset Description
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Please join our [**Discord**](https://discord.com/invite/AUegJCJwyb) for discussions with fellow researchers/makers!
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- If you're interested in
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- If you're interested in testing out your AI models on our existing fleet of Earth Rovers in various cities, feel free to DM [Michael Cho on Twitter/X](https://twitter.com/micoolcho) to gain access to our Remote Access SDK.
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- If you're interested in playing the game (ie. remotely driving an Earth Rover), you may join as a gamer at [**Earth Rovers School**](https://www.frodobots.ai/earth-rovers-school).
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1. **Control data**: Gamer's control inputs captured at a frequency of 10Hz (Ideal) as well as the RPM (revolutions per minute) readings for each of the 4 wheels on the robot.
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2. **GPS data**: Latitude, longitude, and timestamp info
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3. **IMU (Inertial Measurement Unit) data**: 9-DOF sensor data, including acceleration (captured at 100Hz), gyroscope (captured at 1Hz), and magnetometer info (captured at 1Hz), along with timestamp data.
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4. **Rear camera video**: Video footage captured by the robot's rear-facing camera at
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5. **Front camera video**: Video footage captured by the robot's front-facing camera at
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6. **Microphone**: Audio recordings captured by the robot's microphone, with a sample rate of 16000Hz, channel 1.
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**Loom Video Explanation**
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<iframe width="560" height="315" src="https://youtu.be/yZVflvg4kBw" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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In total, there were more than ? individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
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- self-driving
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- robotics navigation
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pretty_name: FrodoBots 2K Dataset
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---
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## Dataset Description
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Please join our [**Discord**](https://discord.com/invite/AUegJCJwyb) for discussions with fellow researchers/makers!
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- If you're interested in contributing driving data, you can buy your own unit(s) from our [**online shop**](https://shop.frodobots.com/) (US$299 per unit) and start driving around your neighborhood (& earn from in-game points in the process)!
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- If you're interested in testing out your AI models on our existing fleet of Earth Rovers in various cities or your own Earth Rover, feel free to DM [**Michael Cho on Twitter/X**](https://twitter.com/micoolcho) to gain access to our Remote Access SDK.
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- If you're interested in playing the game (ie. remotely driving an Earth Rover), you may join as a gamer at [**Earth Rovers School**](https://www.frodobots.ai/earth-rovers-school).
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1. **Control data**: Gamer's control inputs captured at a frequency of 10Hz (Ideal) as well as the RPM (revolutions per minute) readings for each of the 4 wheels on the robot.
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2. **GPS data**: Latitude, longitude, and timestamp info collected during the robot drives at a frequency of 1Hz.
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3. **IMU (Inertial Measurement Unit) data**: 9-DOF sensor data, including acceleration (captured at 100Hz), gyroscope (captured at 1Hz), and magnetometer info (captured at 1Hz), along with timestamp data.
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4. **Rear camera video**: Video footage captured by the robot's rear-facing camera at a typical frame rate of 20 FPS with a resolution of 540x360.
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5. **Front camera video**: Video footage captured by the robot's front-facing camera at a typical frame rate of 20 FPS with a resolution of 1024x576.
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6. **Microphone**: Audio recordings captured by the robot's microphone, with a sample rate of 16000Hz, channel 1.
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**Loom Video Explanation**
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In total, there were more than ? individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
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