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, Parker discusses her early life and how she became interested in robotics and artificial intelligence. She also discusses the various projects she has worked on, her main work creating robots that can work with people, where the robot can infer what to do without human command. She also talks about the barriers young women face going into IT fields and what they can do to get into the field and succeed.
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, Kaneko outlines his progression throughout robotics and his contributions to various projects, such as the walking robot and the multi-fingered hand. He discusses his experiments with the hand, and the influences drawn upon by his work. Finally, he provides insight into the future direction of his research, and comments on the future applications of robotics.
Radhika Nagpal is the Fred Kavli Professor of Computer Science, School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University.
