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About

Yasunori Nagasaka is a robotics researcher whose work centers on computer vision, multi-robot coordination, and engineering education. His most influential contribution, "Fast 3D position measurement with two unsynchronized cameras" (2004, 13 citations), introduced a practical stereo vision system that eliminates the need for hardware synchronization, enabling accurate 3D tracking with standard cameras—a significant advance for real-time robotic applications. In the RoboCup domain, he developed fast image processing and flexible path generation for the Small Size League (2003, 7 citations) and applied potential field methods to short-term action planning (2001, 6 citations), directly improving robot agility in competitive environments. Beyond technical research, Nagasaka has made notable contributions to engineering pedagogy, pioneering problem-based learning through robot making as a first-year experience (2013, 4 citations) and creating practice courses using RoboCup-inspired small robots (2006, 2 citations). His work on the SSL-Humanoid platform (2011, 4 citations) and the OWARI-BITO robot (2000, 3 citations) further demonstrates his commitment to bridging theoretical research with hands-on robotic systems. With a career spanning vision algorithms, multi-agent planning, and educational innovation, Nagasaka’s impact is felt both in advancing robotic perception and in shaping how future engineers learn.