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.
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, Bob McGhee discusses his career in robotics, in particular his work on guided missiles, walking robots, and unmanned submarines. Describing his work on robotics projects, such as the phony pony and the bionic bug, he emphasizes the animal and human influence. Discussing the fallibility of robots, he describes the research and work being done at the time, as well as comments on the change in the perception of robotics and the evolution of the field.
In this oral history, Larry Matthies covers his professional life in the field of Computer Robotics, taking us through his collegiate education and his career in robotics research, specifically his work with computer vision. Matthies offers his personal insight on the various projects he has collaborated on as well, from working for DARPA to NASA and his experience with the NASA Mars Rover project, for which he dedicated most of his career to. Matthies also touches upon his move back to academia and his thoughts on the future of the field of computer robotics.
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.
