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Michael Airbib
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In this interview, Arbib discusses his interdisciplinary career in theoretical neuroscience and computer science, and the influence of the field of robotics. He reflects on the evolution of the field, as well as the future challenges it may face. Additionally, he provides advice to young people interested in robotics.
Hirochika Inoue
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In this interview, Inoue discusses his career in the field of robotics, focusing on his graduate research and his work at the ETL and the University of Tokyo. Recounting his early interest in engineering and robotics, he outlines his involvement in several robotics projects, including development of a robot arm and intelligent robots. He comments on the state of robotics labs and funding in Japan and in America, reflects on the challenges of robotics, and provides advice to young people interested in the field.
Illah Nourbakhsh
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In this interview, Illah Nourbakhsh discusses his work in robotics, focusing on artificial intelligence and planning, and the challenges and future of the field. Describing his involvement in projects, such as the Book Store Project and the automated highway system project, he outlines the state of robotics at Stanford, the start of his company (Blue Pumpkin Software), and his arrival and work at Carnegie Mellon. Additionally he discusses his work on educational projects, such as the Dinosaur Hall, and at NASA, and comments on the potential for robotics in education and space exploration.
George Pappas
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In this interview, George Pappas discusses his work in robotics, in particular his work at RPI, UC Berkeley, and Penn. He describes the environment of his education and workplaces, and the various collaborations and influences he experienced, as well as the problems and projects he researched. Additionally he reflects on the evolution of robotics throughout his career, its future applications and challenges, and impact on society.
Nils Nilsson
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In this interview, Nilsson discusses his opinions on, and experiences with, artificial intelligence. He goes into detail on the successes and failures of AI, and how these may translate to the future of the field.
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