Maja Mataric

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.

Richard D. (Dick) Klafter, one of the early leaders in the field of robotics and automation and the IEEE Robotics and Automation Society, was born on 5 August 1936 and died 11 November 2019. He received an undergraduate degree at MIT, two graduate degrees from Columbia University, and a Ph.D. in Electrical Engineering from the City University of New York (1969).

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.

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.

In this interview, Bolles provides a general analysis of his work in robotics and computer vision. He goes into specific detail on certain programs at SRI International, such as the ARM project, his work on RANSAC, and the future of the field.

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.