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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