CLARU
3g1l-vaktros2026cc-by-4.0

Flight unknown

Drone telemetry dataset captured on a Raspberry Pi 5 with stereo camera, IMU, barometer, and Betaflight flight controller during a 10-minute flight.

Downloads24
Episodes1
Hours0.167

Why This Matters for Physical AI

This dataset provides multimodal sensor fusion from drone flight operations, enabling research in state estimation, sensor integration, and autonomous aerial vehicle control systems.

Technical Profile

Modalities
rgbimubarometergps
Robot Embodiments
quadrotor
Environment
outdoor
Task Types
locomotion
Episodes
1
Total Hours
0.167
Data Format
parquet
License
cc-by-4.0
Part of the Flight unknown family

Access

View on HuggingFace

Need custom rgb data?

Claru builds purpose-built datasets for outdoor applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets

Xperience-10M

A large-scale egocentric multimodal dataset of human experience containing 10 million interactions and 10,000 hours of synchronized first-person recordings with six video streams, audio, stereo depth, camera pose, hand mocap, full-body mocap, IMU, and hierarchical language annotations for embodied AI, robotics, and world modeling research.

rgbaudiodepthproprioception+3
2.3M downloadsother

Open-H-Embodiment

A multi-embodiment community-driven dataset of paired kinematics and video for training AI autonomy models in surgical robotics and ultrasound applications. The dataset includes tabletop exercises, clinical procedures, and simulations of healthcare robotics tasks.

rgbproprioception
118K downloads2026cc-by-4.0

Open-H-Embodiment

A community-driven, multi-embodiment dataset of paired kinematics and video for training and evaluating AI autonomy models in surgical robotics and ultrasound applications, including tabletop exercises, clinical procedures, and healthcare robotics simulations.

rgbproprioception
76K downloads2026cc-by-4.0

LingBot-Depth Dataset

Self-curated RGB-D dataset for training masked depth modeling approaches, containing real-world indoor scenes, VLA robot manipulation tasks, and simulated data across multiple camera types and robot platforms.

rgbdepth
71K downloadsCC BY-NC-SA 4.0

PhysicalAI-Robotics-Manipulation-Kitchen-Demos

A large-scale dataset of 600 hours of human-teleoperated demonstrations across 316 different kitchen manipulation tasks, totalling 55k trajectories collected using a Franka Panda robot with an Omron mobile base.

rgbproprioception
57K downloads2025cc-by-4.0

OmniAction

A large-scale multimodal dataset for proactive robot manipulation comprising 141,162 episodes with cross-modal contextual instructions derived from spoken dialogue, environmental sounds, and visual cues rather than explicit commands.

rgbaudiolanguage
45K downloads2025cc-by-nc-4.0