Yejun Liu

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About

Yejun Liu is a pioneering researcher at the intersection of robotics, human-robot interaction, and creative technologies. Their work focuses on developing intuitive motion planning and control systems that make complex, high-degree-of-freedom robots accessible for education and new media arts. Liu’s landmark paper, “MotionFlow” (2020, 9 citations), introduced a novel framework that simplifies robot motion generation, enabling artists and educators to program expressive, safe behaviors without deep technical expertise. This contribution has been instrumental in bridging the gap between engineering and artistic expression, allowing robots to serve as collaborative tools that foster children’s creativity and offer new paradigms for digital art. By reducing the complexity of multi-joint coordination, Liu’s research empowers non-specialists to harness robotic systems for storytelling, performance, and interactive installations. Their work has been recognized for its impact on both human-robot interaction and educational technology, positioning Liu as a key figure in making robotics a medium for inclusive, imaginative exploration. With a growing citation record, Yejun Liu continues to shape how robots can seamlessly integrate into human-centric, creative environments.