Introduction to Robotics Specialization

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects.

Did you know?

  • Courses can be taken individually online.
  • Learners who pay for and complete all six courses will receive a Specialization Certificate.

ROBOTICS 1: AERIAL ROBOTICS

Instructors: Vijay Kumar

This course begins with an introduction to the mechanics of flight and the design of quadrotor flying robots.

Self Paced
4 Weeks
FREE
4 Hours Per Week

ROBOTICS 2: COMPUTATIONAL MOTION PLANNING

Instructors: C.J. Taylor

Robotic systems include three components: a mechanism for exerting forces and torques on the environment, a perception system for sensing the world, and a decision and control system which modulates the robot’s behavior to achieve the desired ends. This course will explore the problem of how a robot decides what to do to achieve its goals.

Self Paced
4 Weeks
FREE
3 Hours Per Week

ROBOTICS 3: MOBILITY

This course will explore how to design robot bodies and behaviors that recruit limbs and more general appendages to apply physical forces that confer reliable mobility in a complex and dynamic world.

Self Paced
4 Weeks
FREE
2-4 Hours Per Week

ROBOTICS 4: PERCEPTION

How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this course, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow.

Self Paced
4 Weeks
FREE
3-5 hours per week

ROBOTICS 5: ESTIMATION AND LEARNING

Instructors: Daniel Lee

How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this course you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world.

Self Paced
4 Weeks
FREE
3-4 Hours Per Week

ROBOTICS 6: CAPSTONE

The six-week Robotics Capstone course will give you the opportunity to implement a solution for a real-world problem based on the knowledge and skills attained in the robotics specialization.

Self Paced
6 Weeks
FREE
2-4 hours per week