Rung-Chi Ju

Papers

Total Citations

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About

Rung-Chi Ju is a leading researcher in robotics and computer vision, with a primary focus on advancing autonomous navigation and environmental perception for humanoid robots. His most influential work, "Visual SLAM and Moving-object Detection for a Small-size Humanoid Robot" (2010, 44 citations), introduces a groundbreaking algorithm that integrates moving object detection (MOD) with visual Simultaneous Localization and Mapping (vSLAM). In this paper, Ju models moving objects as rigid bodies, using position vectors and rotation matrices to track their spatial coordinates—a novel approach that enables small humanoid robots to simultaneously map unknown environments and detect dynamic obstacles. This contribution is critical for real-world applications where robots must operate safely alongside humans. By bridging the gap between static SLAM and dynamic object tracking, Ju’s work has influenced subsequent research in autonomous robotics, particularly in enhancing situational awareness for mobile platforms. His achievements underscore a commitment to solving complex perception challenges, making him a notable figure in the field. With a citation count reflecting the foundational nature of his research, Ju continues to inspire students and researchers exploring the intersection of robotics, computer vision, and intelligent systems.