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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.
Ruzena Bajscy
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Bajscy is currently Professor of Electrical Engineering and Computer Sciences and Director Emeritus of the Center for Information Technology Research in the Interest of Science (CITRIS) at the University of California, Berkeley. There she continues to do innovative research on machine perception, robotics and artificial intelligence, winning the 2009 Benjamin Franklin Medal in Computer and Cognitive Science for her recent work.
Rolf Pfiefer
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In this interview, Rolf Pfeifer discusses his work in robotics, focusing on artificial intelligence and locomotion. Describing the influence of human psychology and intelligence on his research, he outlines his early work with cognitive robots and AI and his later work in bio-robotics. He discusses the challenges and breakthroughs of his work and of bio-robotics as a whole, as well as the evolution of robotics throughout his career and its future applications and goals.
Radhika Nagpal
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Radhika Nagpal is the Fred Kavli Professor of Computer Science, School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University.
Chris Atkeson
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In this interview, Atkeson talks about his research projects, how he became involved with robotics, his collaboration with international partners, and mentoring students. Atkeson concludes this interview by giving advice not only for students interested in the robotics field but also for other students who are still deciding their future.
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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