Berkeley AutoLab Core Documentation

Welcome to the documentation for the Berkeley AutoLab’s autolab_core module! This module is designed to be useful in a broad set of robotics tasks.

Installation Guide

• Python Installation
  • Option 1: Pip
  • Option 2: Install from Source for ROS
• Documentation
  • Building
  • Deploying

API Documentation

• CSV Processing
  • CSVModel
• Quaternions
  • DualQuaternion
• Exceptions
• Experiment Logging
  • ExperimentLogger
• JSON Manipulation
• Points and Point Clouds
  • BagOfPoints
  • BagOfVectors
  • Point
  • Direction
  • Plane3D
  • PointCloud
  • NormalCloud
  • ImageCoords
  • RgbCloud
  • RgbPointCloud
  • PointNormalCloud
• Geometric Primitives
  • Box
  • Contour
• Random Variables
  • RandomVariable
  • BernoulliRV
  • GaussianRV
  • ArtificialRV
  • ArtificialSingleRV
• Rigid Transformations
  • RigidTransform
  • SimilarityTransform
• Utility Functions
• YAML Config Processor

Indices and tables

• Index

• Module Index

• Search Page