Ronald Arkin

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, Matt Mason discusses his career in robotics, in particular in compliant motion, force control, and fine motion planning. Outlining his involvement in projects at IBM, MIT, and Carnegie Mellon, he provides insight into the state and evolution of robotics at the time. Describing his current work on manipulation and robotic hands, he comments on the future of robotics at CMU and of the field as a whole.

Bajscy is currently Professor of Electrical Engineering and Computer Sciences and Director Emeritus of the Center for Information Technology Research in the Interest of Science (CITRIS) at the University of California, Berkeley. There she continues to do innovative research on machine perception, robotics and artificial intelligence, winning the 2009 Benjamin Franklin Medal in Computer and Cognitive Science for her recent work.

In this interview, Fong discusses his involvement in and contributions to the field of robotics. He recounts his time at MIT, Carnegie Mellon, and NASA Ames, and the research work and projects he completed. He reviews his various robotics collaborations, his involvement with Fourth Planet, Inc. and as director of the robotics group, and his contributions to virtual reality interfaces and Human-Robot Interaction research. Additionally, he reflects on the evolution and challenges 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.