Getting Started with Walabot
Contributors:
bboyho
bboyho 
Resources and Going Further
Now that you've successfully got your Walabot up and running, it's time to incorporate it into your own project!
For more on the Walabot, check out the links below:
- Walalbot.com - Official website for the Walalbot.
- Technical Datasheet (PDF)
- SDK and API Package Downloads - Download the latest stable SDK and API packages here.
- API Library - Documentation for the Walabot API
- GitHub Project Repo - Walabot's project repository.
- Community - Projects from the Walabot community listed on Hackster.io. Control LEDs based on your breathing patterns, detect falls, or add unique sensing to your robot/drone. Some tutorials are completed while others are still documenting. There are many uses but here are some practical applications that are linked below:
- Home Monitoring And Alerts For The Blind
- People and Fall Detection with Walabot
- Walabot Sleep Quality Tracker
- WalaBreathe - A Wireless Breath To Speech Assistive Device
- Walabot Security Robot with Alexa Command and Control
- Vehicle Rear Vision
- Inspection Drone with Walabot Capability
- Wireless Light Switch Manipulator
- SFE Product Showcase
For information about stands and enclosures check out the 3D models used in these projects:
For a list of useful Raspberry Pi commands, head over to this page:
Need some inspiration for your next project? Check out some of these related tutorials:
Interactive LED Music Visualizer
Use an Arduino and the SparkFun Sound Detector to create visualizations on Addressable RGB LED strips.
QRD1114 Optical Detector Hookup Guide
Use this IR LED/phototransistor fusion to sense objects in close proximity or even the color of a surface!
Air Quality Sensor - SGP40 (Qwiic) Hookup Guide
Get started measuring indoor air quality with the SparkFun Air Quality Sensor - SGP40 (Qwiic) Hookup Guide.
IMU Data to Motion: Tutorial for Translating Sensor Data into Real-World Movement
Sometimes we want to do more with our data than just watch the values roll by on a screen. In this tutorial, we'll take a look at one way we can translate that data to movement.