Solutions
Data Solutions for Every Robotics Application
From manipulation to navigation, our platform adapts to your specific robotics use case with specialized data processing pipelines.
Built for Your Use Case
Specialized data pipelines optimized for different robotics applications.
Manipulation & Grasping
Process teleoperation data from pick-and-place tasks, assembly operations, and fine motor control sequences.
- Multi-camera viewpoint synchronization
- Force/torque sensor integration
- Grasp success labeling
- Action segmentation
Autonomous Navigation
Transform sensor data from indoor and outdoor navigation scenarios into training-ready datasets.
- LiDAR and camera fusion
- Path trajectory extraction
- Obstacle annotation
- Semantic mapping
Humanoid & Locomotion
Capture and process full-body motion data for walking, running, and dynamic balance control.
- Motion capture integration
- Joint angle extraction
- Gait phase labeling
- Balance metrics
Industrial Automation
Handle high-volume manufacturing data with precision timing and quality control metrics.
- Cycle time analysis
- Defect detection labeling
- Process optimization data
- Safety event tagging
Technical Specifications
Enterprise-Grade Infrastructure
Data Formats
- Input Formats
- ROS bags, HDF5, MP4, CSV, JSON
- Output Formats
- RLDS, TFRecord, HDF5, Parquet
- Compression
- LZ4, ZSTD, Gzip
Performance
- Processing Latency
- < 50ms
- Throughput
- 10M+ samples/day
- Data Accuracy
- 99.7%
Scalability
- Max File Size
- Unlimited
- Concurrent Streams
- 1000+
- Storage
- Petabyte-scale
Security
- Encryption
- AES-256 at rest & transit
- Compliance
- SOC 2, GDPR
- Access Control
- Role-based (RBAC)
Integration
Fits Into Your Existing Stack
Get started in minutes with our SDK, or use our REST API for custom integrations. Full support for ROS ecosystems.
SDK & API
Python SDK and REST API for seamless integration with your existing workflows.
Cloud Native
Deploy on AWS, GCP, or Azure. Or use our fully managed cloud service.
ROS Integration
Native support for ROS/ROS2 with automatic topic discovery and recording.
from roboticsdata import Client
# Initialize client
client = Client(api_key="your_key")
# Upload raw data
dataset = client.upload(
path="./recordings/",
format="rosbag"
)
# Process and export
processed = dataset.process(
pipeline="manipulation"
)
processed.export(format="rlds")