In space, robots will be our best friends since they can operate in the dangerous Martian atmosphere. Understanding how robotic systems work and their components will be helpful to extend the life of our metal counterparts!

Massachusetts Institute of Technology

Robotics @ MIT



Robotics Software Engineer Nanodegree

In this program, you’ll gain hands-on experience developing robotics solutions as you cover topics such as: Robot Operating System (ROS), Kinematics, Control, Simultaneous Localization and Mapping (SLAM), and more. You’ll learn cutting-edge techniques like Deep Reinforcement Learning through our partnership with NVIDIA's Deep Learning Institute. You’ll master the key skills necessary to become a software engineer in the transformational field of robotics and applied artificial intelligence.


Jetson Quick Start Platforms

Researchers and developers find NVIDIA Jetson to be the perfect platform to realize AI applications on their UAV, UGV and other type robotic hardware, for its small form factor, low energy consumption, and superior deep learning performance.

While Jetson is available for any custom hardware platform, Quick Start Hardware Platforms for Jetson are developed by companies in the Jetson ecosystem, as “ready-to-code” kits. Developers can use these hardware platforms to jump start AI application development, minimizing time spent on initial hardware assembly. These platforms offer flexibility for adding additional sensors and come with software tools and APIs for developing AI enabled applications.

The Construct

Learn to Develop Robots with ROS

An online platform to learn the Robot Operating System (ROS) by programming simulated robots online. It contains a series of online ROS courses tied to online simulations, giving you the tools and knowledge to understand and create any ROS based robotics development.