I am a "Distinguished Hundred Talents" postdoctoral fellow at Beihang University. My research focuses on key issues in respiratory exoskeleton robots, including bionic mechanisms, variable-stiffness and variable-configuration design, and human-in-the-loop control.
I have published 4 SCI papers as the first author or corresponding author, including high-level papers in IEEE Transactions on Biomedical Engineering (IEEE TBME, a Q1 journal in the biomedical engineering field) and IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE, a Q1 journal in the rehabilitation field). My doctoral dissertation was awarded the 2025 Doctoral Dissertation Incentive Program by the Technical Committee on Intelligent Robots of the China Computer Federation. Relevant achievements were invited for a presentation at the Youth Forum of the 2025 China Haptic Technology and Application Conference (ranked 3rd out of 80 participants).

We are a core research team from Beihang University (BUAA) specializing in respiratory assist robots. Deeply engaged in the interdisciplinary innovation of soft wearable technology and respiratory rehabilitation, we are committed to breaking through the limitations of traditional respiratory treatment equipment and providing natural, efficient, and personalized multi-scenario respiratory assistance solutions for people with respiratory dysfunction. Our core research directions include:

Bionic Respiratory Assist Robot R&D

Focusing on mimicking the physiological mechanism of natural breathing, we develop soft wearable robot systems covering multi-scenario applications in hospitals, homes, and outdoor environments. Integrating multiple functions such as inhalation assistance, exhalation enhancement, and cough assistance, the systems have completed effectiveness verification on patients with five typical respiratory disorders, including motor neuron disease, chronic obstructive pulmonary disease (COPD), cervical spinal cord injury, stroke, and traumatic respiratory failure.

Core Technology of Variable Stiffness and Configuration

We have innovated the layer-blocking variable stiffness driving principle and the soft actuator based on the Yoshimura tubular origami structure, achieving dynamic stiffness switching by 20 times and precise application of negative pressure ranging from 0 to -50 cmH₂O. The technology balances auxiliary stability and wearing comfort, with multiple invention patents authorized.

Human-Robot Fusion Intelligent Control

We have constructed a dual-chamber respiratory mechanics model and a backstepping control strategy, and developed a human-robot closed-loop control system based on haptic and force sensing. This system enables precise regulation of lung volume and minimization of human-robot antagonism, supporting real-time optimization of personalized parameters.

Multi-Modal Respiratory Intention Perception

We have established a decoding framework for respiratory nerve-muscle-skeleton-airflow conduction, integrating IMU sensing, diaphragm ultrasound, and cortical electroencephalogram (EEG) analysis. It achieves millisecond-level respiratory state monitoring and synchronous triggering, as well as neural decoding of active respiratory participation.

Please feel free to contact me via email at  773572772@qq.com  if you are interested in my research.

For more information,please visit my Homepage on GitHub.