Sara Kiesler

In this interview, Jean Paul Laumond discusses his movement from mathematics to robotics and his career contributions to the field, especially in regards to motion planning and anthropomorphic motion. Describing his involvement at CNRS and in other robotics projects, such as HILARE, he comments on the distinction in perception between the robotics approach and a mathematics one.

In this interview, Inoue discusses his career in the field of robotics, focusing on his graduate research and his work at the ETL and the University of Tokyo. Recounting his early interest in engineering and robotics, he outlines his involvement in several robotics projects, including development of a robot arm and intelligent robots. He comments on the state of robotics labs and funding in Japan and in America, reflects on the challenges of robotics, and provides advice to young people interested in the field.

In this interview, Daniel discusses his lengthy career in the field of robotics research. He reflects on his contributions to the field through his various projects and collaborations in industry and at universities, and the founding of his company. Additionally, he discusses the evolution of the field through the years and the challenges it will face, as well as provides advice to young people interested in robotics.

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, 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.