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robot-perception

Calibrate and synchronize multi-sensor data for robotic perception.

Updated May 3, 2026
Search Tags:#perception#camera#robotics#LiDAR#data fusion#sensor calibration#sensor synchronization
One-click install
npx skills add https://github.com/elliewlh2094/codex-robotics-skills --skill robot-perception-elliewlh2094
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: robot-perception
Source: https://github.com/elliewlh2094/codex-robotics-skills/tree/main/.agents/skills/robot-perception
Command: npx skills add https://github.com/elliewlh2094/codex-robotics-skills --skill robot-perception-elliewlh2094

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencv-python, numpy, and includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of configuring, calibrating, and utilizing various sensors essential for robotic perception, enabling more accurate environmental understanding.

Core Features & Use Cases

  • Sensor calibration and setup: Establish intrinsic and extrinsic parameters for cameras, LiDAR, and other sensors.
  • Sensor data fusion and synchronization: Combine data streams from multiple sensors with precise timing control for robust perception.
  • Use Case: A robotics engineer calibrates a LiDAR and camera setup, then synchronizes their data streams for a navigation system operating in outdoor environments.

Quick Start

Use the robot perception skill to calibrate your camera intrinsic parameters with checkerboard images and synchronize multiple sensors for accurate multi-modal perception.

Frequently Asked Questions about robot-perception

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calibrate a camera and LiDAR setup for robotic perception?▼

Calibrate camera and LiDAR setups by establishing intrinsic and extrinsic parameters using checkerboard images. This establishes accurate spatial relationships for multi-sensor data fusion in autonomous navigation systems.

What is sensor synchronization and why is it needed for autonomous robots?▼

Sensor synchronization aligns data streams from multiple sensors with precise timing control. It ensures robust perception by preventing temporal misalignment between camera frames and LiDAR scans during environmental mapping.

How do I fuse multi-sensor data streams for industrial automation?▼

Fuse multi-sensor data streams by combining inputs from cameras and LiDAR with precise timing control. This provides accurate environmental understanding required for industrial automation deployment.

Do I need OpenCV and NumPy for robotic sensor calibration?▼

Yes, OpenCV and NumPy are required dependencies for sensor calibration and data handling. You also need sensor-specific SDKs to establish intrinsic and extrinsic parameters for your multi-sensor setup.

What's the best way to establish intrinsic parameters for a robotic camera?▼

Establish intrinsic camera parameters using checkerboard images processed through OpenCV. This determines the camera's internal characteristics necessary for accurate perception and multi-modal data fusion.

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