Gerd Hirzinger

In this interview, Hollerbach discusses his pursuit of, and career in, robotics. Outlining his career at the AI Lab, he describes the research environment, and the interactions and collaborations of fellow researchers. Reflecting on the evolution of robotics and his involvement in the Year of the Robot and other robotics projects, he later comments on the current state and challenges of robotics and its future development and applications.

In this interview, Choset recounts his career in robotics and his contributions to the field. He describes his early interest in motion which led him to study robotics, and his early collaborations with Ruzena Bajcsy and Joel Burdick which helped guide his career. He speaks about his research at Carnegie Mellon, especially his work on medical robots, his contribution to the development of the snake robot, and his various industrial and student collaborations, and the practical applications that arose from it. Additionally, he reflects on the evolution of the field of medical robotics, and provides advice to young people interested in the field.

In this interview, Hollis reflects on his early interest in robotics and his contributions to the field. Outlining the accomplishments throughout his career, he recounts the development of various robot projects, such as the Alpha- and Beta-Newt robot and Minifactory, and robotic technologies, especially haptics and precision systems. Additionally, he provides advice to young people interested in a career in the field of robotics.

In this interview, Jodi Forlizzi discusses her early involvement with robotics and her eventual career in human-robot interaction. She outlines her work at UPenn and CMU, as well as her involvement in various projects and companies. Commenting on the many challenges and breakthroughs throughout her career, she reflects on the evolution and future of the field as a whole.

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.