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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.
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.
Raja Chantila
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In this interview, Chatila discusses his early interest in scientific research and outlines his research and accomplishments throughout his career, such as his involvement with the development of SLAM and with CNRS. Additionally, he explores the difficulties that the field presented him, as well as his unique insights into the issues of robotics. He reflects on the future challenges of the field, and provides advice to young people interested in the field of robotics.
Richard Murray
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In this interview, Richard Murray discusses his career in robotics, in particular his work on manipulation and grasping, non-holonomic motion planning, and locomotion. He describes the state of robotics at CalTech and his contribution to robotics projects there, as well as the challenges of his research. Moving into work with UAV/UAS, he outlines his involvement with the Grand Challenge and his eventual involvement with bio-molecular feedback. Additionally he comments on human-robot interaction and the challenges and problems facing robotics.
Ernst Dickmanns
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In this interview, Dickmanns discusses his interest and involvement with the field of robotics, especially in computer vision, control design, and autonomously driving vehicles. He outlines the theories and structures behind his research projects, the challenges he faced in developing them, and the final results and applications produced. Additionally, he reflects on his career influences, his contribution to the field, and the evolution of robotics over the past few decades and projected into the future.
Daniel Lee
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In this interview, Daniel Lee discusses his career in robotics, focusing on his research at Bell Labs and UPenn’s GRASP Lab. Describing his work on machine learning algorithms and in robotics projects, such as the robot dog and the DARPA Urban Challenge, he comments on the challenges of the field and his research. Reflecting on the evolution of the GRASP Lab and of the field of robotics, he comments on its potential and future.
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