Soh Iizuka

Papers

Total Citations

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About

Soh Iizuka is a robotics researcher whose work centers on autonomous navigation in dynamic, human-centered environments. His primary research areas include mobile robot path planning, sensor-based localization, and real-time obstacle avoidance. Iizuka’s major contributions lie in adapting the Artificial Potential Field (APF) method—specifically the Navigation Function approach—to handle the unpredictability of moving obstacles and changing control intervals. His most cited paper (2014, 7 citations) introduces a combined Navigation Function APF with SLAM (Simultaneous Localization and Mapping) for a “watch over” robot, enabling it to build an environmental map while safely navigating among moving objects. A related study (2014, 3 citations) extends this framework to indoor human monitoring, demonstrating how robots can autonomously track and follow people. Earlier work (2013, 2 citations) addresses robustness to variations in control timing and environmental change. Though his citation counts are modest, Iizuka’s research is notable for its practical focus on integrating mapping, localization, and path generation into a single, real-time navigation system—a foundational challenge for service and assistive robotics. His contributions offer valuable insights for students and engineers developing robots that must operate safely alongside humans.