Xichao Zhang

Papers

Total Citations

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About

Xichao Zhang’s research lies at the intersection of bio-inspired robotics, neural control, and human-robot interaction, with a focus on developing intuitive assistive technologies. His most cited work, “Inhibitory connections between neural oscillators for a robotic suit” (2011, 8 citations), introduces a novel synchronization-based control framework that uses mutually inhibiting neural oscillators to coordinate a robotic suit’s movements with a human user’s gait. This approach enables seamless outer-synchronization between the suit and the wearer, a critical step toward natural, low-effort walking assistance. In a complementary study, “A new approach using neural oscillator for rhythmic power assist” (2011, 3 citations), Zhang formalizes the role of neural oscillators in rhythmic power assistance, introducing the concept of “synchronization gain” to modulate the level of human-robot coordination. By demonstrating that larger gain values allow the oscillator to lock onto the user’s rhythm, he provides a tunable mechanism for adaptive, real-time support. Though early in his career, Zhang’s work has laid a foundational framework for neural-oscillator-based control in exoskeletons and rehabilitation robotics, offering a principled alternative to traditional PID or impedance controllers. His contributions are particularly notable for bridging theoretical neuroscience with practical robotic design, opening new pathways for intuitive, human-aware assistive devices.