In this interview, Dickmanns discusses his interest and involvement with the field of robotics, especially in computer vision, control design, and autonomously driving vehicles. He outlines the theories and structures behind his research projects, the challenges he faced in developing them, and the final results and applications produced. Additionally, he reflects on his career influences, his contribution to the field, and the evolution of robotics over the past few decades and projected into the future.
In this interview, Illah Nourbakhsh discusses his work in robotics, focusing on artificial intelligence and planning, and the challenges and future of the field. Describing his involvement in projects, such as the Book Store Project and the automated highway system project, he outlines the state of robotics at Stanford, the start of his company (Blue Pumpkin Software), and his arrival and work at Carnegie Mellon. Additionally he discusses his work on educational projects, such as the Dinosaur Hall, and at NASA, and comments on the potential for robotics in education and space exploration.
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.
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.
