Max Robotics — Global Service Robot Directory + US Certification

About

Y. Negishi is a robotics researcher whose work has made significant contributions to autonomous mobile robot navigation, sensor fusion, and environment mapping. His research centers on enabling robots to perceive and navigate unknown environments safely and efficiently, with a particular focus on integrating complementary sensing modalities to overcome their individual limitations. Negishi's most influential contribution, "Mobile Robot Map Generation by Integrating Omnidirectional Stereo and Laser Range Finder" (2003), has accumulated 69 citations and demonstrates his innovative approach of fusing omnidirectional stereo vision — capable of rich 3D spatial acquisition — with the reliability of laser range finders to generate accurate probabilistic occupancy maps. This fusion strategy addresses fundamental trade-offs in robotic perception that continue to challenge the field today. Building on this foundation, Negishi advanced adaptive speed control methodologies, developing systems that allow robots to adjust movement dynamically based on map uncertainty and motion reliability — work cited over 46 times. His contributions also extend to omnidirectional stereo calibration and vision-based navigation in static unknown environments, collectively forming a cohesive body of research that has shaped practical autonomous robot deployment. With over 170 combined citations across his key works, Negishi's research remains a meaningful reference point for roboticists working at the intersection of computer vision and autonomous navigation.