- 12 weeks long
- 8-10 hours per week
- Learn for FREE, Ugpradable
- Self-Paced
- Taught by: Ani Hsieh, Camillo J. Taylor, Mark Yim, Jianbo Shi, Kostas Daniilidis, Dan Lee, Vijay Kumar, Dan Koditschek
- View Course Syllabus
Online Course Details:
Robots are rapidly transforming the way we live and work, and will have even more revolutionary impact in the years ahead. Learn robotics fundamentals from the world renowned professors at the GRASP (General Robotics, Automation, Sensing and Perception) Laboratory, one of the top robotics research centers in the world. In this Robotics MicroMasters program, you will learn the mathematical concepts and the programming tools to design, build and program robots that solve industry-relevant, real-world problems.
From self-driving cars to industrial robots working alongside humans, to robot swarms supporting search and rescue operations, this MicroMasters program will help you develop the critical thinking and technical skills necessary to generate new solutions to pressing problems.
In each course, you will face a series of week-long challenges based on state-of-the-art research currently underway at the GRASP Laboratory. Through these challenges, you will refine your understanding of core concepts and prove your abilities in the lucrative field of robotics.
This rigorous graduate-level series represents 30% of the coursework towards a Master of Science in Engineering degree in Robotics from Penn Engineering.
Founded in 1979, the GRASP Laboratory has historically been at the forefront of this rapidly evolving field. Our distinguished faculty are delighted to share with you over 30 years of interdisciplinary research and development, and educational innovation in the field of robotics.
Looking to add valuable certificates to your resume? Our free courses offer the perfect opportunity to unlock certificates in nanotechnology.
Job Outlook:
- Robotics will have an impact in nearly all career sectors.
- The average yearly growth of the robotics industry is 9% and career opportunities for highly trained roboticists continue to rise. (source: A Roadmap for US Robotics, 2016)
- Skills such as MATLAB and machine learning are listed as having a considerable impact on the salary of a robotics engineer. (source: PayScale)
- Career opportunities include robotics, computer vision, embedded systems and autonomous vehicle engineer.
- The average salary of a robotics engineer was $82,000 in 2016 (source: PayScale).
What You’ll Learn:
- How to solve fundamental problems in robotics by applying mathematical concepts
- The visual intelligence that allows robots to explore complex environments
- How to create smarter robots by applying machine-learning concepts
- How to design intelligent controls for robotics
- How bioinspired robots navigate in unstructured environments
