Fu-Hao Chang

Papers

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About

Fu-Hao Chang is a leading researcher in cognitive robotics and human-robot interaction, with a focus on developing intelligent systems that assist in home care and unfamiliar environments. His primary research areas include spatial navigation, object-goal planning, and cognitive memory for autonomous robots. Chang’s most cited work, “Spatial Graph-Based Localization and Navigation on Scaleless Floorplan” (2024, 4 citations), addresses a critical challenge in robotics: enabling effective navigation without prior map building. By introducing a spatial graph approach, his method allows robots to navigate unfamiliar environments using minimal information, reducing technical barriers for end-users. In his second highly cited paper, “Object-Goal Navigation of Home Care Robot Based on Human Activity Inference and Cognitive Memory” (2024, 2 citations), Chang tackles the pressing issue of supporting older adults with cognitive decline. He designs a robot system that infers human activities and leverages cognitive memory to locate desired objects, enhancing human-robot collaboration. These contributions demonstrate Chang’s impact in advancing practical, user-friendly robotic solutions for real-world caregiving and navigation tasks.