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Robotics engineering is a branch of engineering that focuses on the conception, design, manufacturing, and operation of robots. It involves a multidisciplinary approach, drawing primarily from mechanical , electrical , software , and artificial intelligence (AI) engineering .
Robotics is an interdisciplinary field, combining primarily mechanical engineering and computer science but also drawing on electronic engineering and other subjects. The usual way to build a career in robotics is to complete an undergraduate degree in one of these established subjects, followed by a graduate (masters') degree in Robotics.
Career Pathways is a workforce development strategy used in the United States to support students' transition from education into the workforce. This strategy has been adopted at the federal, state and local levels in order to increase education, training and learning opportunities for America’s current and emerging workforce.
The following outline is provided as an overview of and topical guide to robotics: . Robotics is a branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing.
Kuffner joined Google in 2009 and was a member of the software engineering team that developed the Google self-driving car. [7] Kuffner is also known for introducing the term "Cloud Robotics" in 2010 to describe how network-connected robots could take advantage of distributed computation and data stored in the cloud.
In addition to his academic career, Siegel serves on the advisory board for Robofest, [11] a global robotics competition for students, fostering interest in STEM education. He is the Principal Investigator for an NSF-funded Research Experiences for Undergraduates (REU) program [ 12 ] focused on self-driving vehicles.