Hiroshi Ishiguro

In this interview, Kiseler discusses her career in robotics, focusing on anthropomorphic robots, human-robot interaction, and cognitive and social design. Describing her involvement with projects such as Pearl, she goes on to describe her involvement in organizing and developing the HRI conferences. She reflects on her transition from social psychology and computer interaction to human-robot interaction, and comments on its relationship to human psychology and its future development.

In this interview, Caplan discusses his lengthy career in the field of robotics. He recounts his contributions to the industry, and his involvement with the NSF, IARP, and IEEE Robotics and Automation Society. He reflects on the evolution of US robotics research, and the challenges and successes roboticists face. Additionally, he provides advice to young people interested in the field, stressing the importance of passion, education, and collaboration.

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, 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, Max Mintz discusses his career in robotics, focusing on control theory and decision-making under uncertainty. Describing his time at the CSL and the GRASP Lab, he outlines the influences and challenges of his work. Reflecting on the evolution of robotics, he comments on the outstanding problems of the field and its relationship with other disciplines.

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