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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.
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In this interview, Caplan discusses his lengthy career in the field of robotics. He recounts his contributions to the industry, and his involvement with the NSF, IARP, and IEEE Robotics and Automation Society. He reflects on the evolution of US robotics research, and the challenges and successes roboticists face. Additionally, he provides advice to young people interested in the field, stressing the importance of passion, education, and collaboration.
Ronald Arkin
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In this interview, Arkin discusses how he became interested in robotics, his early work with robot navigation, his volunteer positions within the IEEE, and his most popular research on robot ethics. Not only does Arkin outline the applications of robot ethics and robot deception, he also describes the funding of his research and its coverage by the media.
Peter Corke
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In this interview, Corke discusses his career in the field of robotics. He recounts his research work during his college and graduate years, at CSIRO, and at Queensland University. He discusses his contributions to the field, particularly his visual control textbook, his work on mining and field robots, and on sensor networks, his research in visual servoing, and his contribution to the development of open source toolboxes. Additionally, he provides advice to young people interested in robotics, and reflects on his many collaborations, and the challenges and future of the field.
Joel Burdick
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In this interview, Burdick discusses the development of his research in motion and medical robotics, highlighting his many collaborations.
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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