Real-world robotics data
Real-WorldRobotics Data.
Train manipulation, perception, and navigation systems with contributor-captured real-world data, expert validation, and production-ready delivery.
One platform. Three data engines.
Contributor Network
- Egocentric video
- RGB-D capture
- Task demonstrations
- Teleoperation
- Object interaction
Expert Network
- Robotics engineers
- CV researchers
- Motion planners
- HRI specialists
- Safety validators
Evaluation Layer
- Grasp failure analysis
- Out-of-distribution
- Sim-to-real gaps
- Policy stress tests
- Edge cases
Build for the real world
Tabletop Manipulation
Pick & place, Grasping, Tool use
Warehouse Navigation
Autonomous navigation, Obstacle avoidance, SLAM
Outdoor Terrain
Unstructured terrain, Legged robots, All weather
Human-Robot Interaction
Handover tasks, Shared workspace, Safety zones
Assembly Lines
Part insertion, Fastening, Inspection
Teleoperation
Remote control, Latency handling, Force feedback
The Harbor Data Flywheel
From real environments to production-ready models.
A continuous loop that turns human demonstrations and real-world robot data into smarter, safer physical AI systems.
Learn moreData Types
Egocentric & Robot Video
First-person and third-person video of task demonstrations, human activity, and robot operation in real environments.
- Wrist-mounted & head-mounted cameras
- Task completion sequences
- Multi-view rig synchronisation
- Varied lighting and background
Why teams choose Harbor
Deploy Faster
Spin up collection programs in days — not months — with our global contributor network already in place.
Capture What Labs Cannot
Access unstructured environments, diverse objects, and rare interaction sequences impossible to replicate in a lab.
Expert-Validated
Every dataset is reviewed by robotics engineers and researchers ensuring quality your training pipeline can rely on.
Example Robotics Programs
Dexterous Manipulation Dataset
Indoor Navigation Dataset
Legged Robot Terrain Dataset
Better Robots Start With Better Data.
Real contributors. Expert validation. Robotics datasets at scale.