Mulun Wu

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About

Mulun Wu is a pioneering researcher at the intersection of robotics and human-computer interaction, with a primary focus on mixed reality (MR) enhanced control systems for mobile robots. His work revolutionizes how operators interact with autonomous machines by seamlessly blending virtual and physical environments. Wu’s most influential contribution, his 2020 paper on “Mixed Reality Enhanced User Interactive Path Planning for Omnidirectional Mobile Robot” (47 citations), introduces a novel control paradigm that allows users to intuitively plan robot trajectories within a hybrid real-virtual space—a significant leap from traditional fully real or fully virtual approaches. He further advanced the field by integrating surface electromyography (sEMG) signals with virtual reality in his 2018 study (10 citations), enabling hands-free, bio-signal-based robot control. This work addresses the growing need for richer, remote interaction modalities in robotics. Wu’s research is notable for its practical impact on teleoperation and assistive robotics, offering safer, more intuitive ways to guide omnidirectional platforms. His innovative fusion of MR, biosignals, and path planning positions him as a key figure in next-generation human-robot collaboration.