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About

Ai base robot is an autonomous robot. Integration of ros framework with artificial intelligence package is crucial work. The basic theme of this project is to try to mimic the human. How humans sense from their five senses and decide to do something, similarly ai robots sense from sensors and ai algorithms decide to do something. In technical terms, ros publisher publishes data sensor data and I subscribe that data and fit this data to a machine learning model for prediction. After the prediction machine learning model did some decisions that decision are published by the publisher and subscriber subscribe this decision and to act.

Gazebo Simulation

Before the implementation of computer vision tasks into a robot. We do a simulation to try to check how computer vision tasks should work in the above video.

Real life implementation demo

The above video is about a real-life implementation demo of a robot in our workspace.

Installation and configuration 🔥

The Github repository can also be found here:

MadanBaduwal/robot - GitHub

pip3 install -r requirements.txt

cd mina

catkin_make

roslaunch base_rover base_rover.launch   # most important, when we lunch this , all sensor throw data throw node, so we just need to collect this data and do process

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