Pioneering that Continues Today - Even when robotics technologies were relatively primitive, their potential role in boosting the productivity and competitiveness of the United States was foreseen in the evolving global marketplace. The Robotics Institute at Carnegie Mellon University was established in 1979 to conduct basic and applied research in robotics technologies relevant to industrial and societal tasks. Seeking to combine the practical and the theoretical, the Robotics Institute has diversified its efforts and approaches to robotics science while retaining its original goal of realizing the potential of the robotics field. The facility includes approximately 100,000 square feet at the main Pittsburgh campus, another 100,000 square feet at the National Robotics Engineering Center in Lawrenceville and growing. Research - The Robotics Institute is a worldwide hub of robotics research. While much of our work focuses on core robotics technologies like manipulation, locomotion, and control, we also focus on related research areas, including machine learning, computer vision, and graphics. The Robotics Institute is an intellectually diverse, multi-disciplinary department. Faculty and students come from a wide variety of backgrounds and represent many unique areas of expertise. This diversity stems from the multi-disciplinary nature of the field of robotics, which encompasses aspects of computer science, mechanical engineering, electrical engineering, psychology, and many other disciplines. Education - The Robotics Institute is an international leader in robotics education. The world's first Robotics PhD program was founded here in 1988 with the goal of providing graduate students with the knowledge, experience, and skills to become the next leaders in robotics research and education.
Carnegie Mellon Robotics Institute - RI Address
Pittsburgh, PA United States
Carnegie Mellon Robotics Institute - RI Email
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Carnegie Mellon University Robotics InstituteGraduate Student Researcher
NeurIPSNeurIPS Workshop Organizer, Machine Learning for Creativity & Design