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.
Brian Gerkey is co-founder and CEO of Open Robotics, which drives the development and adoption of open software and hardware for robotics. Prior to Open Robotics, Brian was a postdoc in the Stanford AI Lab, a Computer Scientist in the SRI AI Center, and Director of Open Source Development at Willow Garage.
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, Chatila discusses his early interest in scientific research and outlines his research and accomplishments throughout his career, such as his involvement with the development of SLAM and with CNRS. Additionally, he explores the difficulties that the field presented him, as well as his unique insights into the issues of robotics. He reflects on the future challenges of the field, and provides advice to young people interested in the field of 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.
