Max Robotics — Global Service Robot Directory + US Certification

About

Y. Inagaki’s research centers on multi-robot cooperation, human-robot symbiosis, and intention inference—pioneering work that enables robots to understand and anticipate the actions of both other robots and humans without relying on complex communication. Their major contribution is the development of behavior-based intention inference systems, where robots observe situational cues and peer behaviors to resolve conflicts and coordinate tasks. This approach, detailed in their most-cited paper “Placing objects with multiple mobile robots—mutual help using intention inference” (47 citations), frees robots from explicit messaging, making cooperation more natural and robust. Inagaki further extended this paradigm to human-robot teams, as shown in “Behavior-based intention inference for intelligent robots cooperating with human” (34 citations), proposing a three-level perception-recognition-inference architecture that allows robots to assist humans in simple joint tasks. Their work also addresses practical challenges in dynamic environments, including a fast reinforcement learning algorithm and a fuzzy memory-based planning system for real-time control under uncertainty. With a cumulative impact spanning over 100 citations across these foundational papers, Inagaki’s research laid essential groundwork for intuitive, adaptive robot collaboration—a key stepping stone toward truly symbiotic human-robot societies.