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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.
Petar Kokotovic
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In this interview, Kokotovic outlines his work and experiences throughout his time in Belgrade, Moscow, and the United States. He also goes into detail on his experiences working in Eastern Europe during the Cold War.
Allison Okamura
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In this interview, Allison Okamura discusses her work in robotics, focusing on manipulation, planning, and sensory feedback and haptics. Describing her time with Immersion and at Johns Hopkins and Stanford, she outlines her involvement with robotics projects, such as Da Vinci Surgical System and the snake robot, and the innovations and successes of her work. Additionally, she describes her involvement in the robotics community, the role of women in robotics, and the challenges and potential of the field.
Vijay Kumar
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Vijay Kumar was born in Patna, India in 1962. Dr. Kumar received his Bachelor of Technology degree from the Indian Institute of Technology, Kanpur and his Ph.D. from The Ohio State University in 1987.
Makoto Kaneko
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In this interview, Kaneko outlines his progression throughout robotics and his contributions to various projects, such as the walking robot and the multi-fingered hand. He discusses his experiments with the hand, and the influences drawn upon by his work. Finally, he provides insight into the future direction of his research, and comments on the future applications of robotics.
Brian Gerkey
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Brian Gerkey is co-founder and CEO of Open Robotics, which drives the development and adoption of open software and hardware for robotics. Prior to Open Robotics, Brian was a postdoc in the Stanford AI Lab, a Computer Scientist in the SRI AI Center, and Director of Open Source Development at Willow Garage.
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