Alicia Casals

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, Atkeson talks about his research projects, how he became involved with robotics, his collaboration with international partners, and mentoring students. Atkeson concludes this interview by giving advice not only for students interested in the robotics field but also for other students who are still deciding their future.

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.

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, Bob McGhee discusses his career in robotics, in particular his work on guided missiles, walking robots, and unmanned submarines. Describing his work on robotics projects, such as the phony pony and the bionic bug, he emphasizes the animal and human influence. Discussing the fallibility of robots, he describes the research and work being done at the time, as well as comments on the change in the perception of robotics and the evolution of the field.