Daniel Lee

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, Arkin discusses how he became interested in robotics, his early work with robot navigation, his volunteer positions within the IEEE, and his most popular research on robot ethics. Not only does Arkin outline the applications of robot ethics and robot deception, he also describes the funding of his research and its coverage by the media.

In this interview, Atkeson talks about his research projects, how he became involved with robotics, his collaboration with international partners, and mentoring students. Atkeson concludes this interview by giving advice not only for students interested in the robotics field but also for other students who are still deciding their future.

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.

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.