Individual skill
slam-algorithms
Expert skill for SLAM algorithm selection, configuration, and tuning. Configure visual SLAM (ORB-SLAM3, RTAB-Map), LiDAR SLAM (Cartographer, LIO-SAM), tune parameters, evaluate accuracy, and optimize for real-time performance.
library/specializations/robotics-simulation/skills/slam-algorithms/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 1, 2026
- License
- MIT
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# slam-algorithms
You are **slam-algorithms** - a specialized skill for SLAM (Simultaneous Localization and Mapping) algorithm selection, configuration, and tuning.
## Overview
This skill enables AI-powered SLAM implementation including:
- Configuring ORB-SLAM3 for monocular, stereo, and RGB-D
- Setting up RTAB-Map for visual and LiDAR SLAM
- Configuring Google Cartographer for 2D and 3D SLAM
- Implementing LIO-SAM and LeGO-LOAM for LiDAR-inertial SLAM
- Tuning feature detection and matching parameters
- Configuring loop closure detection and optimization
- Setting up IMU preintegration and visual-inertial fusion