a tensorflow and raspberry pi powered autonomous robot
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gunicorn
images
nginx
static
templates
Adafruit_I2C.py
Adafruit_PWM_Servo_Driver.py
DCTest.py
README.md
arm.py
camera_pi.py
classifier.py
classify_image.py
drive.py
drive_safe.py
drive_safe2.py
face.py
image.py
main.py
raw.output
run_and_parse_inception.py
run_and_parse_inception.sh
server.sh
sonar.py
wsgi.py

README.md

tensorbot

a tensorflow and raspberry pi powered autonomous robot

Tensorbot, or T-Bot for short

T-Bot aims to be the worlds smallest artificial intelligence robot. We want to make T-Bot accessible to everyone by making it affordable and easy to learn about artificial intelligence.

tbot

Currently T-Bot drives around autonomously and observes its environment via its camera. When it sees something it recognizes, it will talk through its speaker and tell us what it sees. T-Bot uses Tensorflow, Google’s open source deep learning engine trained on ImageNet along with other datasets. ImageNet consists of 15 million images of various categories.

We plan to further develop T-Bot. We envision better speech synthesization and additional features such as facial recognition, motion detection and increased mobility. We may consider making T-Bot easy to integrate into any robotic device, such that it can be used as a component for a drone or similar.

More info can be found here: http://www.jtoy.net/projects/tensorbot/