张著军，男，1990年生，山东东营人，2022年获哈尔滨工业大学机械工程工学博士学位。发表学术论文11篇（其中10篇被SCI/EI收录），担任Computers & Industrial Engineering、Engineering Applications of Artificial Intelligence、Expert Systems with Applications、IEEE Transactions on Automation Science and Engineering、International Journal of Advanced Manufacturing Technology、Journal of Industrial Information Integration、Journal of Intelligent Manufacturing、Journal of Mechanical Engineering Science等期刊审稿人。

研究领域：智能制造，人工智能，人机协作，故障诊断与状态监测，机器人技术。

项目：

参与国家自然科学基金“面向复杂服役环境的自动对接方法与关键技术研究”；

参与高档数控机床与基础制造装备专项“大型金属壳段快速研制生产线”的课题研究。

代表性成果：

DTSE-SpaceNet: Deformable-Transformer-Based Single-Stage End-to-End Network for 6DPose Estimation in Space. IEEE Transactions on Aerospace and Electronic Systems, 2023.

Prediction-based human-robot collaboration in assembly tasks using a learningfrom demonstration model. Sensors, 2022.

Human-robot collaboration for advanced manufacturing bylearning from multi-modal human demonstrations. Manufacturing Inthe Era Of 4th Industrial Revolution: A WorldScientific Reference (In 3 Volumes). World Scientific Publishing Co.,2021.

Controlling Object Hand-Over in Human-Robot Collaboration viaNatural Wearable Sensing. IEEE Transactions on Human-Machine Systems, 2018.

A deep convolutional neural network with new training methods forbearing fault diagnosis under noisy environment and different working load. Mechanical Systems and SignalProcessing, 2018.

A new deep learning model for fault diagnosis with good anti-noise anddomain adaptation ability on raw vibration signals. Sensors, 2017.

Computer vision algorithm for measurement and inspection of O-rings. Measurement,2016.