Junjie Shen

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About

Junjie Shen is an emerging researcher working at the intersection of robotics, control systems, and human-computer interaction. His work spans two compelling domains: the development of advanced motion control frameworks for bipedal robots and the creation of accessible eye-tracking technologies for human-robot interaction. Shen's most notable contribution in robotics focuses on bipedal locomotion, where he has tackled one of the field's most demanding challenges — designing jumping control frameworks capable of managing full flight phases and high-impact landings. His heuristic landing approach addresses the uniquely stringent control demands of two-legged robots, which require far more sophisticated strategies than their quadrupedal counterparts. This work has garnered 11 citations since its 2023 publication, a strong indicator of early impact in a competitive field. Complementing this, his research into gaze-based object detection using low-cost remote eye trackers democratizes human-computer and human-robot interaction technologies. By moving beyond expensive professional-grade hardware, Shen's work opens new possibilities for everyday applications, earning 10 citations since 2019. Together, these contributions position him as a versatile researcher pushing the boundaries of intelligent robotic systems and accessible interactive technologies.