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Introduction
Overview
What is RapidSense
Value proposition
Target use case (High-level)
Visual guide/demo (GIFs, videos)
System Architecture and Requirements
System diagram
Relationship with RapidPlan(Create & Control)
incl. references to the manuals
System requirements
Supported vision sensors
vrd definition
PC spec and OS requirements
Setup
Hardware Installation
Safety Precautions
Cameras
general considerations for camera positioning?
Software Installation
Licensing?
How to install
How to update/uninstall
System Setup
Calibration
The calibration process requires of a cal.json file which contains the cameras' serial numbers, Aruco markers' ids and measurements, and calibration targets. For the calibration process to work as expected, every project needs to have a home target named as robotname_home, for example, if we have a Fanuc robot in the project and we will use it for calibration we need to have a Fanuc_home target. The calibration targets should be connected on Roadmap to the home pose in RPC project in order for the calibration to succeed.Configuration
User Guide
Get started
(Happy path of a user workflow)
Start a project
Alignment?
currently required user input to run: calibration files and aruco transform
RapidSense HMI
Layout description
Features
RapidSense Filters
How to apply the different filters with their API and what they can do
Integration with Other Systems
API Documentation
Maintenance/ Repair
Troubleshooting and Support
FAQ
Common Problems and Solutions
Contact Information
Legal and Compliance
Licensing Agreement
Privacy Policy
Appendices
Glossary
Release Notes
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Overview
RapidSense is RTR’s premier perception toolkit. Through its usage, user’s can expand RTR’s state-of-the-art motion planning solution into unstructured environments. The following document, walks a new user through the process of setting up a RapidSense project and the hardware components in a cell.