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Brad Nelson
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In this interview, Brad Nelson discusses his career in robotics, focusing on control, manipulation, micro-positioning, and micro/nanorobotics. Describing his research at CMU, the University of Illinois, Minnesota, and ETH, he discusses the challenges of his work and the interactions between scientific disciplines. Commenting on the evolution of robotics and micro/nanorobotics, he goes on to discuss his various work environments, the state of Switzerland’s funding, and the future of the robotics.
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.
Herman Bruyninckx
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In this interview, Bruyninckx recounts his career and his contributions to the field of robotics. He discusses past projects and the challenges that roboticists faced and will face. He reflects on the future of the field and its applications, and provides advice for young people interested in robotics, stressing the importance of a broad, multidisciplinary scientific education.
Jean Paul Laumond
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In this interview, Jean Paul Laumond discusses his movement from mathematics to robotics and his career contributions to the field, especially in regards to motion planning and anthropomorphic motion. Describing his involvement at CNRS and in other robotics projects, such as HILARE, he comments on the distinction in perception between the robotics approach and a mathematics one.
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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