Jiangpeng Ni

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Jiangpeng Ni is a researcher advancing the field of wearable robotics, with a focus on lower-limb exoskeletons and soft exosuits for rehabilitation and human augmentation. His work centers on developing intelligent control systems that enhance human-machine interaction and adapt to real-world environments. Ni’s major contributions include the design of a data-driven shared control system for exoskeleton rehabilitation robots, which improves rehabilitation outcomes by enabling more responsive and patient-specific assistance. He has also pioneered methods for terrain classification and recognition in soft exosuits, allowing these wearable robots to automatically adjust assistance modes—such as walking on flat ground versus stairs—based on environmental context. This adaptive control reduces the wearer’s metabolic cost and improves safety. His research integrates vision sensors inspired by human perception, enabling exosuits to predict and respond to upcoming terrain changes. While his most-cited papers (with 5, 4, and 2 citations respectively) are early in their impact trajectory, they address foundational challenges in making exoskeletons practical for daily use. Ni’s work sits at the intersection of robotics, control theory, and rehabilitation engineering, promising to make assistive devices more intuitive and effective for individuals with mobility impairments.