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Learn autonomous robotics with online courses and programs

Be at the forefront of innovation and learn to develop autonomous systems that can improve efficiency, safety, and quality of life. Learn more about autonomous robotics with edX.

What is autonomous robotics?

Autonomous robotics refers to the field of robotics that focuses on creating machines capable of performing tasks and making decisions without human intervention. These robots use a combination of sensors, artificial intelligence (AI), and advanced algorithms to perceive their environment, process information, and adapt their actions accordingly.

One example of autonomous robotics is self-driving cars. These vehicles are equipped with sensors like cameras and LiDAR to detect obstacles, interpret traffic signals, and navigate roads safely, all without a human driver. They use AI algorithms to make real-time decisions such as when to accelerate, brake, or change lanes, revolutionizing the transportation industry.

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Autonomous robotics course curriculum

A course on autonomous robotics can equip learners with the knowledge and skills necessary to design, build, and program robots that can operate autonomously in a variety of environments. Some examples of potential content includes:

  • Robotics basics like kinetics, dynamics, and control principles

  • Sensors and perception

  • Machine learning and AI techniques

  • Motion planning

  • Simulations and modeling tools

Start building the knowledge you need to work in the autonomous robotics field with edX. From accelerated boot camps to comprehensive programs that allow you to earn a bachelor’s degree or (for more advanced learners) a master’s degree, there are many different learning formats available to fit your needs. Busy professionals can even take advantage of executive education courses. Find the right course for you.

Explore autonomous robotics jobs

The field of autonomous robotics continues to evolve, offering a wide array of career options across industries that are embracing automation and technology. Some examples of career paths that may be relevant include:

  • Robotics engineer: Designs, builds, and maintains robotic systems. They work on developing the hardware and software needed to make robots capable of performing specific tasks.

  • Autonomous vehicle engineer: Develops self-driving cars and other autonomous vehicles. They work on sensor technology and control systems to enable safe and reliable autonomous transportation.

  • Robotics software developer: Develops the software and algorithms that power autonomous robots. They often work on navigation, machine learning, and computer vision algorithms.

  • Robotics technician: Maintains, repairs, and troubleshoots autonomous robotic systems. They ensure that robots operate smoothly and efficiently.

Each of these roles will have different education and skills requirements. Some employers may seek candidates with a degree in engineering depending on the role. Before deciding on a specific learning path, research the positions you hope to pursue and align your coursework with your career goals.