我是一名充满激情的机器人学者，于2023年12月在美国克莱姆森大学获得了机械工程博士学位。我在博导Yue Wang教授的I²R机器人实验室主修机器人学、控制学和机器学习。在这之前，我还于2017年在该实验室获得了机械工程硕士学位。我本科于2014年毕业于西北工业大学机电学院车辆工程专业。

此外，我还分别于2017和2018年在美国优达学城(Udacity)获得了深度学习纳米学位和机器人软件工程师纳米学位认证。

我对移动机械臂系统和人机协同操控物体有着浓厚的兴趣。我博士期间的研究侧重于开发基于力和贝叶斯推断的机器人信任的、适用于复杂环境中人机协作操控物体的可变阻抗控制，以及基于无缘性的具有不同优先级的多任务的移动机械臂控制框架。

I’m a passionate roboticist with a PhD in Mechanical Engineering at Clemson University, US, majoring in robotics. I worked with Professor Yue Wang at her I²R lab, where I also received my MS in 2017. I graduated from Northwestern Polytechnical University in 2014 with a BS in Automotive Engineering from the School of Mechanical Engineering.

I also earned the “Deep Learning Nanodegree Foundation” and “Robotics Software Engineer Nanodegree” from Udacity in 2017 and 2018, respectively.

I am interested in mobile manipulator systems and human-robot co-manipulation. My research focuses on trust-aware and passivity-based human-robot co-manipulation in a semi-structured environment, by developing variable impedance control based on Bayesian inference of human-robot trust, and passivity-based hierarchical task priority control frameworks.