license: cc-by-sa-4.0
FrodoBots Gaming Dataset
FrodoBots is an open world video driving game where gamers remotely control sidewalk robots in different cities. The game objective is to complete the pre-defined navigation missions. As gamers play the game, it generates a valuable and multifaceted robotics dataset, which we have chosen to open source for the benefit of researchers and enthusiasts alike. The Frodobots Gaming Dataset is a diverse collection of IMU, GPS, control data, camera footage, and audio recordings collected from sidewalk robots.
Dataset Overview
Control data: This includes information about the robot's control inputs captured at a frequency of 10Hz.
GPS data: This includes latitude, longitude, and timestamp information for each data point collected during the robot drives at a frequency of 1Hz.
IMU (Inertial Measurement Unit) data: This provides 9-degree of freedom sensor data, including acceleration (captured at 100Hz), gyroscope (captured at 1Hz), and compass ride information (captured at 1Hz), along with timestamp data.
Rear camera video: This offers video footage captured by the robot's rear-facing camera at 20 frames per second (FPS) with a resolution of 800x600.
Front camera video: This consists of video footage captured by the robot's front-facing camera at 20 FPS with a resolution of 480x480.
Microphone: This includes audio recordings captured by the robot's microphone, with a sample rate of 48000Hz.
Speaker: This incorporates audio recordings of the robot's speaker output, also with a sample rate of 48000Hz.
Usage
For users not familiar with the structure of the data or those requiring assistance in manipulating and using it, please refer to the helpercode.ipynb file provided. This notebook contains Python code that helps understand and work with the dataset more effectively.