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Awesome_Robotics

If you are a robot who likes probability, you are gonna love this repo

This repository contains my implementations of robtics algorithms, along with their explanations. The main reference used here is Probabilistic Robotics book by Sebastian Thrun, Wolfram Burgard and Dieter Fox.

Installation:

Install Anaconda
Create (and activate) conda environment
$ conda create --name awerob
$ conda activate awerob
Clone the repository
$ git clone https://github.com/kharyal/Awesome_Robotics.git
$ cd Awesome_Robotics
Install required packages
$ conda install --force-reinstall -y -q --name awerob -c conda-forge --file requirements.txt

You are good to go now!

Note: I haven't really tried this installation process. Therefore, typos and errors are expected. Drop an issue if you find one :P

Contents:

  1. Bayes filter
  2. Kalman filter (in progress)
  3. Extended Kalman filter (in progress)

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If you are a robot who likes probability, you are gonna love this repo

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