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AI Data Solutions for Robotics

Sensor fusion, grasping datasets, and spatial mapping for industrial and consumer robotics.

Why Loopernode for Robotics?

  • Domain-expert annotation workforce
  • Strict regulatory & compliance protocols
  • Enterprise-grade security infrastructure
  • 99%+ Guaranteed SLA accuracy

Overview

Training a robot to interact with the physical world requires vast amounts of multi-dimensional spatial data. Loopernode specializes in annotating complex 3D environments for both industrial warehouse robots and consumer-facing service bots. We combine video, LiDAR, and tactile sensor data to provide the ground truth required for advanced robotic manipulation and path planning.

Key Use Cases in Robotics

Robotic Grasping & Manipulation

Annotating 3D bounding boxes and physical center-of-mass points to teach robotic arms how to safely handle fragile items.

Spatial Mapping & SLAM

Labeling dense indoor point clouds to help service robots navigate complex human environments.

Human-Robot Interaction

Annotating human gestures, speech, and intent to train robots for seamless collaboration in shared workspaces.

Need a custom dataset?

Our solutions architects can design a custom data pipeline tailored specifically to your model's requirements.

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Scale your Robotics AI initiatives today

Partner with Loopernode to secure the high-quality training data your models need to perform safely in the real world.

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