Derp Learning

Derp Learning is a Python package that collects data, trains models, and then controls an RC car for track racing.

Hardware

You will need access to a drill and a soldering kit.

Vehicles

The following vehicles have been tested and are supported:

SparkFun Jetbot

If you prefer something smaller, slower, with zero turn radius powered by individual-wheel drive motors the Sparkfun JetBot Kit $275 includes all parts, except for the optional IMU and Dualshock 4 controller. Please follow the setup guide at the site.

Adafruit BNO055 9-DOF Absolute Orientation IMU $35
Playstation Dualshock 4 Controller $45

Traxxas-based Vehicles

Each of the following vehicles has been tested and works with the platform. 3D printed parts are TBD.

LaTrax Rally (1/18 scale brushed) $120
Traxxas Slash (1/10 scale brushed) $240
Traxxas E-Revo (1/16 scale brushless) $250
Jetson Nano $100
Pololu Micro Maestro 6-Channel USB Servo Controller $19
Dual Lock Reclosable Fastener $19
USB Battery $16
USB to Barrel Cable $7
USB Jumper $5
Brass Spacers/Offsets M2+M3 Offsets $17
Nylon Washers M2+M3 $8
Breadboard Jumper Wires $7
Wifi Card $20
Wifi Antenna $3
Camera $30
64GB MicroSD Card $12
Adafruit BNO055 9-DOF Absolute Orientation IMU $35
Playstation Dualshock 4 Controller $45

Software

This software has been tested on Ubuntu 18.04 using Python 3.6 on both x86_64 and aarch64 architectures.

bash install.sh

Collect Data

bin/drive.py config/rally.yaml

Label Data

bin/label.py data/recording-YYYYMMDD-HHMMSS-HOSTNAME

Build a dataset and train cloning model

bin/clone.py config/brain-clone.yaml

Test model

bin/drive.py config/rally.yaml

tushar-31093/derplearning