robot-perception

What problem does it solve?

Comprehensive guidance for building and deploying robot perception systems, covering sensor setup, calibration, fusion, and deployment to production hardware. It aims to reduce integration friction and improve reliability of perception pipelines.

Core Features & Use Cases

• Sensor setup and calibration (intrinsic, extrinsic, hand-eye)
• Sensor fusion, object detection, tracking, and 3D pose estimation
• Streaming, synchronization, and latency budgeting across multi-sensor rigs
• Deployment-ready perception pipelines on robot hardware with ROS/ROS2 integration

Quick Start

Prepare your first perception pipeline by selecting your sensors, performing intrinsic/extrinsic calibration, and validating with a simple object-detection task.