Python for Robotics

Do you want to become a ROS Developer? If yes, learn Python which is the most popular programming language for robots.

Why Python for Robotics?

Robotics is an interdisciplinary branch of engineering and science that deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing.  These machines can substitute for humans and replicate human actions. 

Python is the core language of ROS (Robot Operating System). Robot's motion planning, manipulation, navigation, localization, image processing, physics simulation, etc are research programmed using Python.

Here's why:

1) It is easy, has a simple syntax, and comes with dynamic typing.

2) It interfaces with C/C++.

3) It has extensive libraries for scientific and numerical problems.

4) It's cross-platform and works fine on Linux and OSX (the primaries in robotics), and Windows

5) The full power of a distributed robotics system and all its libraries/tools are available to developers via Python.

Thus, Python is a high-level program that is useful for tasks that don't need to be run at high frequencies. It's generally easier to program fairly complex things in fewer lines of code using Python. 

So, what are you waiting for? Learn Python Robotics!

Why Train on Python Robotics?

Python is an interpretive language and the prime focus of the language is ease of use. Python lets go of a lot of the usual things which take up time in programming, such as defining and casting variable types. Also, there are a huge number of free libraries of Python which help implement some basic functionality of Robots much easily.

Python is the language that is used with the Raspberry Pi and Arduino which are used to control a robot. Instead of manually teaching every statement to a robot, you can write a Python script that calculates, records and simulates an entire robot program. That would allow you to quickly test and visualize your solution in simulation as well as refine the program and its logic if needed.

If you want to have a good foundation for learning how to develop external robot controllers and post-processing robot programs using Python, join us!

Our learning Robotics using Python course covers, Python fundaments, introduction to robotics, how to read and write a robot program as well as control a robot using Python scripts. This will also involve learning the structure of a robot and its program in Python API.

ROS Works on Python

Python is the core language for ROS as even non-programmers can learn, understand Python and use effectively while building robotics applications.

Job Opportunities

Rapidly growing job opportunities in the field of Robotics calls for trained and skilled Python professionals.


Python Libraries

There is a wealth of Python-compatible Robot libraries like OpenCV, OMPL, etc. which can help you build applications without much difficulty.


Simple and Clean

You can quickly write some code and interpret it easily using Python due to its code readability.

Check Your Python for Robotics Knowledge

How much do you know about Python and Robotics?

Main Modules of Python Robotics Course

This course teaches you Python APIs, libraries, and other functions used in ROS and Robotics development.

Introduction to Robotics

  • Introduction
  • History of the term robot
  • Modern definition of a robot
  • Anatomy of Robot
  • The physical body
  • Sensors, Effectors, Controllers
  • Python for Robotics, Python fundamnetals
  • Building a Robot
  • Reactive control, Hierarchical control, Hybrid Control

Mechanical Design

  • Defining the requirements
  • Robot drive mechanism
  • Robot Simulation and Open Source Softwares
  • LibreCAD, Bender, and MeshLab
  • CAD drawing of the Robot
  • 3D model of the Robot
  • Python scripting in Blender
  • Introduction to Blender Python APIs
  • Python Script of the robot model

Robot Simulation

  • Understanding robotic simulation
  • Mathematical modeling of the robot
  • Introduction to ROS and Gazebo
  • ROS concepts
  • ROS Indigo
  • Gazebo
  • Robot model, URDF, Xacro, and Robot state publisher
  • Creating a Robot description ROS package
  • Simulating created Robot

Hardware Design

  • Hardware specification
  • Block diagram
  • Motor and encoder
  • Motor driver
  • Embedded controller board
  • Untrasonic sensors
  • Inertial Measurement Unit
  • Kinect
  • Central Processing Unit
  • Speakers/ mic
  • Power supply/ battery
  • Working of the Hardware

Robotic Actuators and Wheel Encoders

  • Interfacing DC geared motor with Tiva C LaunchPad
  • Differential wheeled robot
  • Installing the Energia IDE
  • Interfacing code
  • Interfacing quadrature encoder with Tiva C LaunchPad
  • Processing encoder data
  • Quadrature encoder interfacing code
  • Working with Dynamixel actuators

Robotic Sensors

  • Working with ultrasonic distance sensors
  • Working of HC-SR04
  • Interfacing code of Tiva C LaunchPad
  • Interfacing Tiva C Launchpad with Python
  • Working with IR proximity sensor
  • Working with Inertial Measurement Unit
  • Interfacing MPU 6050 to LaunchPad with the DMP support using Energia

Vision Sensors

  • Robotic vision sensors and image processing libraries
  • Introduction to OpenCP, Open NI and PCL
  • Programming Kinect with Python using ROS, OpenCV and OpenNI
  • Working with Point Clouds using Kinect ROS OpenNI and PCL
  • Conversion of point cloud to laser scan data
  • Working with SLAM using ROS and Kinect

Speech Recognition and Synthesis

  • Understanding Speech Recognition
  • Working with speech recognition and synthesis
  • Real-time speech recognition using Pocket
  • Sphinx GStreamer and python
  • Speech Recognition using Julius and Python
  • Working with Speech Recognition in ROS Indigo and Python

Artificial Intelligence in Robots

  • Block diagram of the communication system
  • Introduction to AIML
  • Introduction to PyAIML
  • Working with AIML and Python
  • Working with A.L.I.C.E. AIML files
  • Integrating PyAIML into ROS

Hardware and Interfacing

  • Integration of Hardware and Interfacing it into ROS using Python
  • Building Hardware
  • Configuring PC settings and ROS Packages
  • Interfacing sensors with Tiva C LaunchPad
  • Writing a ROS Python driver
  • Understanding ROS launch files
  • Working with Python nodes and launch files
  • Designing a GUI
  • Working with PyQT and PySide

Calibration and Testing

  • The Calibration of Cbox Kinect using ROS
  • Wheel odometry calibration
  • Calibrating the MPU 6050
  • Testing of the robot using GUI

Temporarily Discontinued

Due to the Covid-19 pandemic, we have temporarily suspended all 14 physical classrooms in India, the USA, and Canada. We are currently providing training through live online (virtual classroom) mode and self-paced learning (pre-recorded) mode only. Once our classrooms are operational again, the courses will be displayed here. If you have already booked a classroom course, please check your email for further details for the 'change of delivery mode' option or 'request for a refund' option. Or connect back with your personalized course coordinator. Please accept our apology for the inconvenience caused. Stay Safe!

Still wondering? We got an idea. Evaluate us before you enroll.

Ask for a Free Demo Class before you make up your mind to explore Python for Robotics learning.

Bulk Booking Discounts

Please choose if you want to do multiple courses together or would like to bring in your colleagues with you.

Certification Bundle

Multiple courses for one trainee

Team Training Bundle

Multiple trainees for a course

Specific Needs? Let's Customize!

Please choose if your organization has a specific training agenda, we can customize a course for you.

For Corporates

  • Customized Training Content
  • On-Site Training

For Colleges

  • Faculty Development Programs 
  • Student Development Programs

Why Choose Online Idea Lab? 

Learn Cutting-Edge Technology

We are the industry-pioneer offering Python Robotics course except a few. You have made the best choice by choosing us.

Industry Experts Trainers

Learn from our trainers who have extensive real-world programming experience. They will walk you through the concepts thoroughly.

Become Subject Matter Expert

By the end of the course, you can efficiently ROS using Python because of its easy syntax, secure coding, and it’s simplicity.

Become Subject Matter Expert

By the end of the course, you can efficiently develop the IoT devices using Python because of its easy syntax, secure coding, and it’s simplicity.

Be Industry-Ready

Learning & developing ROS using Python makes you stand out in the crowd and more demandable at the workplace and among clients.

Talk to trainer

Talk directly with our trainer to get detailed information about this course.

Robotics and other combinations will make the world pretty fantastic compared with today.

Bill Gates

Founder, Microsoft


We are always keen to know what our students have to say about their experience at Online Idea Lab. Read below and know what they have shared.


Learning Robotics with Python! Don't you think nothing else can get exciting than this? That's exactly this institute is aiming for. Amazing trainer and training course. I strongly recommend them.

Samarth Khanna, Robotics Research Department


I am a Python developer. But want to explore the Robotics field. Python Robotics training with this institute was done right. Trainer explained concepts of Robotics so well, I feel I'm fully equipped now.

Rodney Miranda, Software Programmer

Contact Us

To explore ample opportunities in Robotics field, do get in touch with us.

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    Other related courses

    Few Interesting Facts and Stats

    • Python is the core of ROS development.
    • Program Kinect with Python using ROS, OpenCV, and OpenNI libraries
    • Python is the language that is used with the Raspberry Pi. 
    • Daily and highly used websites like Quora,  Google, Facebook, YouTube, Instagram use Python.
    • Python syntax is influenced by JavaScript.
    • There is no semicolon(;) and braces ({,}) in python. Which makes python a clean and fast to code language.
    • Python ranked #1 on the IEEE Spectrum list of top programming languages for 2019. 

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