Mobile Robotics Engineer

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Instructor

Luqman

Course Overview

Welcome to your pathway to becoming a Robotics Software Engineer. This comprehensive program is designed to elevate your software engineering skills, focusing on practical robotics applications using C++ and ROS2. You’ll begin with core concepts and progress through advanced topics, providing you with a deep understanding of software development for robotics.

Modules Overview:

Robots URDF and Kinematics Modeling

  1. Explore URDF for robot modeling, add 3D meshes for mobile robots and robotic arms, and understand physical properties through Gazebo simulations.

Robotics Sensing and Processing

  1. Work with ROS2 to process sensor data, learning both online and offline data processing methods essential for real-world robotics.

Control Systems with ROS2 Control

  1. Study control systems including PID, LQR, and optimal control techniques, and implement these in various robotics projects using ros2_control with multiple controller types.

Version Control with GitHub

  1. Master GitHub for version control, collaborative development, and best practices in managing robotics projects.

Mapping and SLAM

  1. Learn to perform SLAM for both 2D and 3D environments, write mapping algorithms, and utilize ROS2 for robust 2D and 3D mapping.

Path Planning Algorithms

  1. Discover path planning algorithms, including RRT, A*, and Grid Sweep, for effective navigation within robotic applications.

Navigation

  1. Integrate mapping, planning, and control to enable mobile robot navigation using Nav2, building towards autonomous robot movement.

Algorithm Development :

  1. Developing Path Planning , Control System and Sensor Fusion algorithms

Throughout the learning path, you’ll engage in hands-on assignments that reinforce key concepts from each module.

Our clear submission process and dedicated Discord channel ensure you receive ongoing support and feedback on your journey.

Course Content

  • Learning Path Guidelines

    • Welcome to Mobile Robotics Engineering Learning path

      00:03:00

    • Joint Discord Private Community

  • Robots URDF and Kinematics Modeling

    • Module Introduction

      00:01:00

    • Understanding Transforms

      00:04:00

    • Static Transforms with TF2

      00:08:11

    • Mobile Robot and Transforms in URDF

      00:05:08

    • Robot Structure Tree with URDF

      00:06:14

    • Creating a Mobile Robot with URDF

      00:05:37

    • Adding Visual Body Elements in URDF

      00:05:46

    • URDF changes for Gazebo

      00:05:12

    • Gazebo Plugins and why?

      00:02:44

    • Mobile robot drive pluging for Gazebo

      00:04:12

    • Gazebo vs Rviz Comparison

      00:00:49

    • Simulation vs Real Robot Challenges

      00:00:58

    • Mobile Robot Development Components and Wiring

      00:02:13

    • Building robot

      00:11:11

    • Electric Mottor Driving Components

      00:02:21

    • Programming the MicroController using Platformio

      00:04:40

    • Porgramming Motor Controlling

      00:05:32

    • Understand difference between ROS2 , Platformio , Gazebo

      00:01:19

    • MicroROS example on ESP32

      00:05:02

    • MicroROS node Communication

      00:06:50

    • MicroROS complete Server Client Example

      00:06:33

    • Velocity sending standard in ROS2 Ecosystem

      00:01:16

    • Creating cmd_vel topic through microROS

      00:06:38

    • Sending Velocity to drive Robot

      00:06:31

    • Module 1 : Recap

      00:01:21

    • URDF and Robot Creation in ROS 2

  • Robotics Sensing and Processing

    • Module Introduction

      00:00:36

    • Project Maze Solving

      00:02:20

    • Alias for easy compilation and building

      00:05:00

    • Lidar Sensor on Turtlebot3

      00:06:11

    • Lidar Data Understanding

      00:02:28

    • Lidar Data Grouping

      00:03:17

    • Maze Creation

      00:02:08

    • Maze and World Arrangement

      00:06:23

    • Maze Solving Understanding

      00:06:22

    • Maze Solving Using Lidar

      00:04:41

    • As a developer you write good code.

      00:00:58

    • Maze Solving Code Design

      00:03:45

    • Restructuring Maze Solving project Code

      00:09:48

    • Project Vision based Line Following

      00:01:04

    • Camera Sensor Data Understanding

      00:04:42

    • Gazebo Line World

      00:01:51

    • Line Segmentation

      00:05:23

    • Boundary Extraction

      00:06:00

    • Mid Point Extraction

      00:04:09

    • Line Following

      00:07:30

    • Simulation to Real Robot Positioning

      00:00:56

    • Real Robot Sensors

      00:00:30

    • Encoder Sensor Interface on ESP32

      00:03:41

    • Encoder Sensor Output Analysis

      00:02:14

    • IMU Sensor Interfaceon ESP32

      00:02:52

    • IMU Sensor Output Analysis

      00:01:45

    • Creating libraries for IMU and Encoders

      00:09:54

    • Analysing output of our sensors

      00:00:36

    • Why we need MicroROS

      00:00:30

    • MicroROS Interface for our Robot

      00:08:39

    • Analysing MicroROS communication

      00:02:34

    • Connecting Robot Upper Portion for Lidar

      00:03:06

    • Why do we need a raspberry pi ?

      00:01:06

    • Installing Ubuntu on RPI

      00:07:05

    • Visualizing Lidar Data in RVIZ2

      00:03:35

    • Understanding Lidar Data visually

      00:05:59

    • Processing Lidar Data by splitting

      00:03:40

    • ESP32 MicroROS and RPI ROS2 Communication

      00:09:48

    • Generating Odom from Encoders

      00:10:52

    • Sensor Data Manipulation for Robot Control

  • Control Systems with ROS2 Control

    • Module Introduction

    • C++ Efficient Programming Habit

      00:01:00

    • ROS2 Controllers Requirments

      00:03:22

    • Custom Velocity Controllers

      00:08:36

    • Controllers Interfaces

      00:01:20

    • Testing Custom Controllers

      00:04:26

    • Revisting Ros2_control interface

      00:03:00

    • Control System a subject

      00:00:50

    • Feedback Controlling for Go to Goal

      00:02:55

    • Linear Goal

      00:06:59

    • Improving Robot Reaction

      00:03:44

    • Proportional Controller

      00:04:13

    • 2D Planer Goal

      00:11:21

    • Improving Reaction

      00:04:28

    • Optimizing Go to Goal Behaviour

      00:03:30

    • Enhancing Robot Control for Smooth Motion

  • Mapping and SLAM

    • Mapping Introduction

      00:00:53

    • What is Occupancy Grid

      00:02:28

    • Custom Occupancy Grid Node

      00:05:41

    • Basic Mapping Algorithm Introduction

      00:01:52

    • Lidar to Grid Node

      00:05:44

    • Cartographer Mapping Basic Working

      00:03:18

    • Creating A Maze for Map Creation

      00:09:27

    • ROS2 Slamtoolbox Online Async Mapping

      00:08:30

    • Parameters Values Effect on Mapping

      00:07:11

    • PNG Image to 2D map

      00:07:41

    • 3D Rtap Visual Mapping

    • SLAM for Slambot

      00:00:58

    • Recording Data for mapping

      00:03:42

    • Gmapping on ROS2 Bag

      00:05:32

    • Building the Map with Slambot

      00:04:13

    • Hardware Inaccuracies

      00:00:44

    • Odometry Testiing for SLAMBot

      00:03:12

    • Improving SLAM for our robot

      00:07:52

    • ROS 2 Mapping with SLAM

    • Types of Mapping and next steps

  • Version Control with Github

    • Introduction to Version Control

    • How Github is useful ?

    • Creating a Custom Repository

    • Why we have Branches ?

    • Practices in Branches

    • Getting History and Reverting Back

    • Commit Back

    • Submodules for Multi level Repositories

    • Adding Submodules

    • Running Packages with Dependencies

    • Bash Scripting

    • Github Actions for automation

    • Creating Github Actions

  • Path Planning Algorithms

    • Module Introduction Path Planning

      00:00:54

    • Grid Sweep Algorithm

      00:04:21

    • Visualizing Grid Sweep

      00:07:37

    • Improving Grid Sweep

      00:05:07

    • File Organizing for Better Code

      00:08:45

    • Astar Path Planning Algorithm

      00:03:28

    • Astar Interfacing Code

    • Linkedin List in C++

      00:05:07

    • Multi Queues

      00:06:31

    • Completing Astar with ROS2 Interface

      00:08:58

    • Understanding Costmap Server

      00:07:27

    • Planner Server and Its Usage

      00:06:02

    • Adding Custom Planner into Nav2 Stack

      00:01:48

    • Nav2 planner Interface for our Algorithm

      00:15:29

    • Adding our Astar as a planner to Nav2

      00:05:04

    • Testing Astar Planning with Nav2 Interface

      00:04:05

    • Path Planning with A* and RRT

  • Navigation

    • Module Introduction Navigation

      00:00:51

    • Nav2 Architecture and Software Development

      00:00:56

    • Running Nav2 Stack Example

      00:08:47

    • Nav2 Software Development Steps

      00:14:53

    • Nav2 Example Reflection

      00:06:53

    • Nav2 Example Configurations

      00:06:09

    • Nav2 Nodes Comamnder

      00:14:15
  • Algorithm Development for Robotics

    • Starting a complex Algorithm

      00:01:05

    • Introduction to Linear Quadratic Control

      00:05:15

    • Architecture of LQR

      00:04:36

    • Creating LQR Library

      00:10:58

    • LQR ROS2 Node

      00:10:08

    • Running LQR with Tb3

      00:06:29

    • Rapidly Exploring Random trees Algorithm

      00:02:46

    • RRT Node Library

      00:01:00

    • Writing Node Class

      00:04:25

    • Unit Testing Node Class

      00:10:28

    • RRT Working Revisit

      00:01:59

    • Writing RRT

      00:11:08

    • Testing RRT Class Functionality

      00:12:48

    • RRT ROS2 Node Integeration

      00:05:36

    • Module Introduction to Sensor Fusion

    • Why we need Kalman Filters

    • Important concepts of Statistics and Kalman Filters

    • Implementation of Linear Kalman Filter

    • State estimation along X and Y axis

    • Noise Effect on KF

    • More advance approach

    • Introduction to EKF

    • Implementation of Extended Kalman Filter

    • Adding Functionality in Custom EKF

    • ROS2 Node for Utilize EKF

    • ROS2 EKF Package for Robot Localization

  1. 5

    Penumetsa Sri Sai Ashish Varma

    An exceptional course! The smooth transition from theory to coding and simulations made learning easy. The assignments were enjoyable and helped me clearly understand key robotics concepts. I truly enjoyed every part of this course.

Paid
  • Course Level Intermediate
  • Lessons 162
  • Duration 30 hr
  • Language English
  • Enrolled 44
  • Additional Resource 0
  • Last Update August 7, 2025
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