Learn Robotics
20 expert-rated courses covering Robotics. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Robotics skills are essential for roles in manufacturing, healthcare, logistics, and aerospace. Robotics engineers can earn 30-50% more than average software engineers, and employment in this field is projected to grow 10% annually by 2026 as companies rapidly adopt advanced automation.
Key Facts About Robotics
- 1Robotics combines disciplines like mechanical engineering, electrical engineering, computer science, and sensor technology.
- 2The Robot Operating System (ROS) is the leading open-source software framework for building complex robot applications.
- 3Common robot sensors include cameras, laser rangefinders, tactile sensors, and inertial measurement units (IMUs).
- 4Major robotics programming languages include Python, C++, MATLAB, and Simulink.
- 5Top robotics applications include industrial automation, self-driving vehicles, surgical robots, and space exploration.
Top Robotics Courses
Introduction to AI for Robotics
Arm Education's introduction to AI concepts for robotics applications including computer vision, planning, and embedded ML systems.
Robotics MicroMasters: Autonomous Navigation
Learn autonomous robot navigation through SLAM, path planning, and motion control. University-level robotics course.
Sensor Integration with NVIDIA DRIVE
Learn sensor integration for autonomous vehicles using NVIDIA DRIVE. Cover camera, lidar, and radar fusion for self-driving systems.
Siemens Robotics Course
Learn industrial robotics fundamentals using Siemens automation platforms and tools. This course covers robot programming, control systems, and integration with manufacturing environments. Gain practical skills in configuring and operating advanced robotic systems.
Modern Robotics: Mechanics, Planning, and Control
Explore the mathematics and algorithms behind modern robotic systems including kinematics, dynamics, and motion planning. This comprehensive course provides theoretical foundations and practical applications for designing and controlling sophisticated robots.
Fundamentals of Robotics and Industrial Automation
Discover the core principles of robotics and industrial automation systems. Learn about robot types, applications, safety protocols, and integration with manufacturing processes. Ideal for professionals entering the automation industry.
Introduction to Robotics on AWS
Learn how to build and deploy robotic applications using Amazon Web Services cloud infrastructure. This course covers ROS (Robot Operating System), simulation tools, and AWS robotics services for scalable robot development.
Requirement Specifications for Autonomous Systems
Learn to define and document requirements for autonomous systems and robots. This course covers safety specifications, functional requirements, and validation processes essential for developing reliable autonomous systems.
Verification and Synthesis of Autonomous Systems
Master formal methods for verifying and synthesizing autonomous systems. Learn model checking, automated synthesis techniques, and testing strategies to ensure safety and correctness of autonomous robots.
CPS Design for Mechatronics, Healthcare, EV, and Robotics
Explore Cyber-Physical Systems design principles applied to mechatronics, healthcare devices, electric vehicles, and robotic systems. Learn how to integrate hardware, software, and networking for intelligent automated systems.
AI for Autonomous Vehicles and Robotics
Learn AI techniques for autonomous vehicles and robotics including deep learning, computer vision, reinforcement learning, and control.
Kalman Filters & State Estimation for Robotics
Comprehensive course on Kalman filters, extended Kalman filters, and unscented Kalman filters for robotics state estimation and tracking.
ROS 2 for Beginners (ROS Jazzy - 2026)
Master ROS2 Basics and Become a Robot Operating System Developer. Step by step guide covering Python and C++ for robotics programming.
ROS2 Robotics Developer Course - Using ROS2 In Python
Gain expertise in the latest version of the Robot Operating System (ROS 2) in Python to program your own robots.
ROS 2 and Raspberry Pi (+ Arduino)
Create Embedded and Distributed Robotics Applications with ROS2 and Raspberry Pi.
Computer Science & Robotics - Linux to ROS 2
Master Linux, Docker, ROS 2, and Git - the essential toolkit to build, simulate, and deploy modern robots.
Robotics & Mechatronics 3: Digital Twin Machines | Unity
Design physical and animated digital twins for any mechanical machine 3D model using Unity for industrial automation applications.
Industrial Digital Twins for Automation - Godot and CoDeSys
Create and connect digital twins with Godot and CoDeSys for robots and machines in industrial automation environments.
Embedding Sensors and Motors
Design and implement sensor and motor systems for drones and robotic platforms from University of Colorado Boulder.
Modern Robotics: Mechanics, Planning, and Control
Comprehensive robotics specialization from Northwestern University covering robot mechanics, kinematics, dynamics, motion planning, and control.
Pro Tips for Learning Robotics
- #1Start with fundamental courses on robotics principles, programming, and common robot components/sensors.
- #2Practice hands-on skills by building simple robots using platforms like Arduino, Raspberry Pi, and ROS.
- #3Stay up-to-date on the latest robotics research, applications, and industry trends by following technical blogs and communities.
Why Learn Robotics?
- Robotics skills are in high demand and command premium salaries in industries like manufacturing, logistics, and healthcare.
- Learning robotics opens the door to exciting career paths in fields like automation, autonomous systems, and space/defense technology.
- Robotics is a fast-paced, multidisciplinary field that allows you to work on cutting-edge technology with real-world impact.