Binquan Zhang
Papers
2
Total Citations
48
H-Index
2
About
Binquan Zhang is a researcher specializing in wearable robotics, human-robot interaction, and intelligent sensing systems, with a particular focus on lower-limb exoskeletons designed to assist human locomotion. His work sits at the compelling intersection of biomechanics, control systems, and soft robotics, addressing critical challenges in making assistive technologies both safe and effective for real-world use. Among his most notable contributions is an adaptive framework for real-time continuous gait phase variable estimation in lower-limb wearable robots, published in 2021 and accumulating 32 citations — reflecting strong community interest in robust locomotion control strategies. This work advances the field by enabling exoskeletons to dynamically respond to a user's movement patterns with greater precision and adaptability. Zhang has also made significant strides in sensing technology, developing differential soft sensor-based systems capable of measuring interactive forces and assistive torques in robotic hip exoskeletons. With 16 citations, this research addresses a fundamental challenge in human-robot physical interaction: accurately quantifying contact forces to improve both safety and rehabilitation outcomes. Together, his contributions represent meaningful progress toward smarter, more responsive wearable assistive devices.
Research Focus
Key Achievements
Top Papers
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- 2