Shih-An Yang

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About

Shih-An Yang is a pioneering roboticist whose research lies at the intersection of autonomous manipulation, perception, and human-robot interaction. Dr. Yang’s most influential work addresses the critical challenge of object search in constrained environments, such as cluttered shelves or cupboards, where limited free space and restricted viewpoints hinder a robot’s ability to locate occluded targets. Their 2015 paper, “Planning on searching occluded target object with a mobile robot manipulator” (20 citations), introduced a novel search planner that enables service robots to intelligently navigate and manipulate their surroundings to find hidden objects—a fundamental capability for higher-level domestic assistance. Further expanding into social robotics, Dr. Yang’s 2017 study on “social acceptance of a robot in a multi-human interaction using an F-formation based motion model” (9 citations) explores how omnidirectional mobile platforms can move harmoniously among people by leveraging spatial models of human social dynamics. This work is pivotal for designing robots that share spaces with humans naturally and comfortably. With a career focused on bridging perception, planning, and social awareness, Shih-An Yang’s contributions are shaping the next generation of autonomous service robots that are both capable and socially acceptable.