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, Rolf Pfeifer discusses his work in robotics, focusing on artificial intelligence and locomotion. Describing the influence of human psychology and intelligence on his research, he outlines his early work with cognitive robots and AI and his later work in bio-robotics. He discusses the challenges and breakthroughs of his work and of bio-robotics as a whole, as well as the evolution of robotics throughout his career and its future applications and goals.
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, Hagita discusses his work in robotics, with a focus on human-robot interaction, agent systems and networked robots, visual perception, and pattern recognition and learning. He recounts his robotics work at various research laboratories, such as Steven Palmer's lab at UC Berkeley, and his time and contributions at NTT and ATR. He reflects on the influences and successes of his career, his involvement in creating the IRC and Media Information Lab at ATR, and the collaborations on various projects (such as Robovie and RFID tags). Additionally he comments on the evolution and difficulties of robotics, and provides advice to young people interested in the field.
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.
