Max Robotics — Global Service Robot Directory + US Certification

About

Koichi Inoue is a pioneering researcher whose career spans two defining frontiers of robotics: human-robot safety assessment and autonomous aerial systems. His most influential contributions emerge from a decades-long dedication to making robot systems safer and more intelligent, beginning with foundational work in the mid-1980s. Inoue's early research established rigorous methodologies for hazard identification and safety assessment in human-robot systems, introducing innovative "Action-Chain" and "Action-Changes" models that systematically map how accidents propagate through complex man-machine interactions. This multi-part research series, developed across several papers from 1986 to 1990 and accumulating nearly 40 citations collectively, provided engineers with practical fault-tree analysis tools and quantitative methods for evaluating consecutive failure logic — work that proved especially critical for industrial robot environments where human safety is paramount. Later in his career, Inoue turned his expertise toward autonomous unmanned aerial vehicles, contributing to the development of flight control systems for disaster-prevention aero-robots using YAMAHA's RMAX helicopter platform. His 2003 paper on this topic, citing neural network-based approaches to managing nonlinear helicopter dynamics, earned 20 citations and reflects his adaptability across rapidly evolving technological domains. His 2018 review chapter further demonstrates his enduring commitment to synthesizing and advancing the field of human-robot safety.