While there are many community robotics platforms that use the TDA4VM Edge AI processor,
this Academy will focus on using the SCUTTLE platform, originating from Texas A&M University.
SCUTTLE stands for "Sensing Connected Utility Transport Taxi for Level Environment" and is an extensive, open source robotics platform.
Here is an overview of the SCUTTLE platform:
To aid your success in this Academy, here is the full list of components to build your AI robot:
####Hardware list:
The main component is the TDA4VM board.
Learn more about it features here.
The SCUTTLE Chassis Kit includes all components necessary for constructing a fully functional Scuttle Robot that will work with the TDA4VM.
It is encouraged for most users to start with this kit to gain familiarity with the hardware platform and assembling hardware components (soldering, crimping, wiring, sensors, battery handling, and mechanical assembly).
This will aid in future endeavors to extend the capability of the robot through custom add-ons.
The bracket mounts the TDA4VM board to the twin rails on the SCUTTLE robot chassis as shown below.

The 3D print design for the bracket is also available here.
The complete journey from the TDA4VM starter kit to a fully assembled autonomous robot is shown in the animation below.

###Download and Install the Software Components
After your robot is assembled, prepare your QNX environment:
Go to the BlackBerry QNX Academy for Functional Safety landing page.
Follow the instructions to fill the QNX evaluation license request form.
Shortly after submitting your form, you should receive an email about your application being evaluated.
Please allow up to two business days for receipt of your license keys.
Once your application is approved and you have received your evaluation licenses,
download and sign into the QNX Software Center
to install the QNX OS for Safety 2.2.1, which is covered by the QNX OS for Safety 2.2 licence and automatically installs the QNX SDP 7.1. Then install the QNX Hypervisor for Safety 2.2.
⚠ Make sure to obtain the QNX evaluation licenses first as the QNX Foundry and the QNX GitLab are closed sites and are only available once you have the licenses.
####Downloading the QNX Pre-built AI Image Demos:
After the evaluation licenses have been granted, you will be able to access the QNX pre-built AI image.
The image will contain all of the robot demo code and patches needed in this Academy:
startup verifier and fault injector
object detection and ranging
subject follower
LiDAR-based navigation
Follow the QNX pre-built AI instructions
to download and install the image onto a microSD card.
####Optional Software for Safety Analysis:
Agenarisk by Agena Ltd
for Bayesian Belief Networks
###Next Steps
Now that you have prepared the minimum robot setup and procured all of the hardware and software for the robot demos in this Academy, it's time to learn about the functional safety when building your system.
#####[BlackBerry QNX Academy for Functional Safety - Developing and Maintaining a Safety Culture >](2_qnx_safety_p1.html)