Multimodal Dataset for Household Robotics
This collection of robotics AI data offers recordings of people performing chores like cleaning, laundry folding, dishwashing and more. Head-mounted video and streams from seven 9-axis IMU units placed on the chest, upper arms, forearms and wrists offer a versatile multimodal dataset. Onboard sensor-fusion of 3-axis accelerometer data (linear acceleration), 3-axis gyroscope data (angular velocity) and 3-axis magnetometer data (magnetic field orientation) produce orientation quaternions directly rather than only raw acceleration and rotation readings.
This collection of robotics AI data offers recordings of people performing chores like cleaning, laundry folding, dishwashing and more. Head-mounted video and streams from seven 9-axis IMU units placed on the chest, upper arms, forearms and wrists offer a versatile multimodal dataset. Onboard sensor-fusion of 3-axis accelerometer data (linear acceleration), 3-axis gyroscope data (angular velocity) and 3-axis magnetometer data (magnetic field orientation) produce orientation quaternions directly rather than only raw acceleration and rotation readings.
This collection of robotics AI data offers recordings of people performing chores like cleaning, laundry folding, dishwashing and more. Head-mounted video and streams from seven 9-axis IMU units placed on the chest, upper arms, forearms and wrists offer a versatile multimodal dataset. Onboard sensor-fusion of 3-axis accelerometer data (linear acceleration), 3-axis gyroscope data (angular velocity) and 3-axis magnetometer data (magnetic field orientation) produce orientation quaternions directly rather than only raw acceleration and rotation readings.
This collection of robotics AI data offers recordings of people performing chores like cleaning, laundry folding, dishwashing and more. Head-mounted video and streams from seven 9-axis IMU units placed on the chest, upper arms, forearms and wrists offer a versatile multimodal dataset. Onboard sensor-fusion of 3-axis accelerometer data (linear acceleration), 3-axis gyroscope data (angular velocity) and 3-axis magnetometer data (magnetic field orientation) produce orientation quaternions directly rather than only raw acceleration and rotation readings.
Dataset specs
Type
Video
Content type
Robotics
Amount
1K hours
Leverage
Advance robotics and embodied AI models by training them on multimodal human activity recordings combining a head-mounted video dataset with full-body IMU sensor streams.
Use cases
Train AI models for human activity recognition, imitation learning and motion understanding using synchronized visual and sensor-fusion quaternion data.
Improve robot perception, manipulation planning and skill generalization for real-world household and task-oriented environments with this IMU dataset.
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Dataset specs
Type
Video
Content type
Robotics
Amount
1K hours