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About

H. Aoyama is a pioneering roboticist whose work spans disaster robotics, humanoid locomotion, and intelligent manipulation. His early research focused on micro rescue robots—tiny hopping machines equipped with IR sensors, designed to detect survivors in rubble piles less than a foot in diameter, a critical innovation for earthquake and terrorist attack response. These foundational contributions, including the "Micro hopping robot with IR sensor for disaster survivor detection" (18 citations), established his reputation in field robotics. More recently, Aoyama has advanced dual-arm and manipulation planning, notably developing a motion planning method based on Soft Actor-Critic (SAC) for 7-DOF dual-arm robots, enabling effective self-collision avoidance and singularity handling (62 citations). He also proposed a semantic segmentation keypoint detection approach for object re-orientation (21 citations), and a Three-mass Linear Inverted Pendulum plus Flywheel Model (TLIPFM) for natural humanoid walking (7 citations). Beyond research, Aoyama has been a driving force in international education, organizing internet-based crossover robot remote control competitions across Japan, China, Thailand, and Taiwan, fostering practice-based innovation. His work demonstrates a unique blend of practical rescue robotics, sophisticated control theory, and global educational impact.