RoboKudo Tutorial overview

• Running a pipeline in RoboKudo
  • Starting RoboKudo
• Create your own RoboKudo package
• Create your own Annotator
  • Create the Annotator
  • Integrate your Annotator into the Pipeline
• Configure your Annotator
  • Configuring the PointCloudCropAnnotator
  • Configuring your own Annotator
• Query handling in RoboKudo
  • General idea
  • Query retrieval in the pipeline
  • Interpret the query in your Annotators
  • Generate a query answer / result
  • Sending a query to RoboKudo
  • Indicating a failure
  • Sending feedback during running perception queries
• Advanced Query Handling
  • Introduction
  • Important Concepts
  • Full Working Example (query_test.py)
  • Full Behavior Tree Overview
  • PrintNumbers – The Worker Node
  • CheckQueryType – The Gatekeeper
  • TaskSequence – Validation and Execution Together
  • Preemption Handling with ConditionalSelector
  • ActionServerNoPreemptRequest and Inverter
  • Action Client – How to Test the Pipeline
• Reading data from a Database
  • Prerequisites
  • Storing data: Idea
  • Storing data: Let’s try it out
  • Reading data
  • Bonus: Store and read multiple scenes in your database
• Running RoboKudo in a Docker container
• Using RoboKudo within WSL
  • Requirements
  • Installation of WSL & Setting up Requirements
  • Installing RoboKudo
  • IDE Setup, using it with PyCharm