Xiumin Diao
Engineering · Purdue University West Lafayette
Publications
54
Citations
826
Est. group size
—
Recurring co-author estimate
Active years
20
Publishing since 2005
Xiumin Diao's research focuses on robotics, particularly cable-driven parallel robots, quadrotor/UAV systems, and machine learning methods applied to robot control and human motion understanding. Work spans mechanical design and stiffness analysis of cable-driven systems, reinforcement learning for robot control, and deep learning for predicting human intentions and actions from video data. This research combines mechanical engineering, control theory, and applied machine learning.
Publication output was relatively steady and highest between 2017-2020, then declined sharply from 2021 onward, with only a few publications appearing since.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Novel Robotic Manufacturing System for Learning Innovation
2024
- Real-Time Reconfiguration Planning for the Dynamic Control of Reconfigurable Cable-Driven Parallel Robots
Journal of Mechanisms and Robotics · 2022
- On the optimal energy efficiency of the multi-rotor UAVs of an aerial work platform based on an aerial cable towed robot
Mechanism and Machine Theory · 2022
- Deep-Learning-based Human Intention Prediction with Data Augmentation
International Journal of Artificial Intelligence & Applications · 2022
- ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
arXiv (Cornell University) · 2020
- Safety robustness of reinforcement learning policies: A view from robust control
Neurocomputing · 2020
- A learning-based control framework for cable-driven parallel robots with unknown Jacobians
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · 2020
- Flight-Trim System for Quadrotors with Rotatable Arms
Journal of Guidance Control and Dynamics · 2020
- Stiffness analysis of cable-driven parallel mechanisms with cables having large sustainable strains
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2020
- A review of cable-driven rehabilitation devices
Disability and Rehabilitation Assistive Technology · 2019
- Comparison of end-to-end and hybrid deep reinforcement learning strategies for controlling cable-driven parallel robots
Neurocomputing · 2019
- Deep-Learning-Based Human Intention Prediction Using RGB Images and Optical Flow
Journal of Intelligent & Robotic Systems · 2019
- Optimize Energy Efficiency of Quadrotors Via Arm Rotation
Journal of Dynamic Systems Measurement and Control · 2019
- The effects of cables' strain and specific stiffness on the stiffness of cable-driven parallel manipulators
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2019
- An Application of Convolutional Neural Networks on Human Intention Prediction
International Journal of Artificial Intelligence & Applications · 2019
- Neurocomputing×2
- Mechanism and Machine Theory×2
- Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science×2
- International Journal of Artificial Intelligence & Applications×2
- 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)×2
- Dongming Gan
Engineering · Purdue University West Lafayette
- Ming‐June Tsai
Engineering · The Ohio State University
- Hai‐Jun Su
Engineering · The Ohio State University
- Gordon R. Pennock
Engineering · Purdue University West Lafayette
- Maitha Alqaydi
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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