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Ralph Hollis
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In this interview, Hollis reflects on his early interest in robotics and his contributions to the field. Outlining the accomplishments throughout his career, he recounts the development of various robot projects, such as the Alpha- and Beta-Newt robot and Minifactory, and robotic technologies, especially haptics and precision systems. Additionally, he provides advice to young people interested in a career in the field of robotics.
Jean-Daniel Nicoud
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In this interview, Jean-Daniel Nicoud discusses his career in robotics and at Lausanne and DIDEL. Describing the state of roboics at EPFL, he reflects on the evolution of the field and his research work. Moving from academia to form a private company (DIDEL), he outlines its motivations and influences, as well as the challenges and potential of robotics applications.
Jim Bobrow
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In this interview, Bobrow discusses his career in robotics from college to UCI. He reflects on his work in manipulation, rehabilitation robotics, and design optimization and muses the success, failures, and future challenges of the field of robotics. Additionally, he provides advice for young people interested in the field.
Kazuhiro Kosuge
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This oral history covers aspects of the education and career of Kazuhiro Kosuge, detailing his professional life, starting with his university education and introduction to robotics, and continuing on to his career in the robotics field. Kosuge also touches upon his life in academia and working in research for many years before becoming a professor at Nagoya University, and later Tohoku. Also included is his personal reflection on his experience with the Dancer project, along with many other notable achievements throughout his extensive career. In addition, Kosuge offers his thoughts on the development of the robotics field and future milestones and leaves advice for newcomers who will continue the growth of robotics.
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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