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, George Pappas discusses his work in robotics, in particular his work at RPI, UC Berkeley, and Penn. He describes the environment of his education and workplaces, and the various collaborations and influences he experienced, as well as the problems and projects he researched. Additionally he reflects on the evolution of robotics throughout his career, its future applications and challenges, and impact on society.
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, 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, 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.
