Jim Bobrow

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, Brad Nelson discusses his career in robotics, focusing on control, manipulation, micro-positioning, and micro/nanorobotics. Describing his research at CMU, the University of Illinois, Minnesota, and ETH, he discusses the challenges of his work and the interactions between scientific disciplines. Commenting on the evolution of robotics and micro/nanorobotics, he goes on to discuss his various work environments, the state of Switzerland’s funding, and the future of the robotics.

In this interview, McCarthy discusses his career in computer science and his contributions to the field of Artificial Intelligence. He outlines his assignments and research projects at Dartmouth, Princeton, Stanford, and MIT. Additionally, he reflects on the various collaborations and interactions throughout his career, the relationship between AI and Robotics, and the challenges of the field, as well as provides advice for young people interested in artificial intelligence and robotics.

In this interview, Asada discusses his interest in with robots and robotic interactions. He outlines his research in image processing as it relates to robotics and automation, as well as on robotic behaviors, robot-environment and robot-human interactions, and machine learning. He reflects on his involvement with the development of the RoboCup program, and on his own accomplishments and those of his previous students. Additionally, he reflects on future research endeavors and the future potential of the field of robotics, and provides advice for those who wish to pursue it.

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.

Radhika Nagpal is the Fred Kavli Professor of Computer Science, School of Engineering and Applied Sciences, Wyss Institute for Biologically Inspired Engineering, Harvard University.