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Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T04A007, June 12–16, 2023

Publisher: American Society of Mechanical Engineers

Paper No: MSEC2023-104792

https://doi.org/10.1115/MSEC2023-104792

View Paper titled, Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning

Topics: Artificial neural networks, Electronics, Machine learning, Safety, Collaboration, Computers, Errors, Hazardous substances, Human-robot collaboration, Measurement units and standards

Journal Articles

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Xinyao Zhang, Kareem Eltouny, Xiao Liang, Sara Behdad

Publisher: ASME

J. Manuf. Sci. Eng. March 2023, 145(3): 031008.

Paper No: MANU-22-1400

https://doi.org/10.1115/1.4056074

Published Online: December 2, 2022

View Articletitled, Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Topics: Algorithms, Robotics, Screws, Electronics

Proceedings Papers

Design of Radiation Damage Monitoring Scheme for Materials in China Experimental Fast Reactor

Hu Ziao, Chen Xiao-xian, Chen Xiao-liang

Proc. ASME. ICONE29, Volume 2: Nuclear Fuel and Material, Reactor Physics and Transport Theory, and Fuel Cycle Technology, V002T02A010, August 8–12, 2022

Publisher: American Society of Mechanical Engineers

Paper No: ICONE29-90146

https://doi.org/10.1115/ICONE29-90146

View Paper titled, Design of Radiation Damage Monitoring Scheme for Materials in China Experimental Fast Reactor

Topics: China, Damage, Design, Fast neutron reactors, Irradiation (Radiation exposure), Neutron flux, Radiation damage, Sensors, Neutrons, Cladding systems (Building)

Proceedings Papers

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Xinyao Zhang, Kareem Eltouny, Xiao Liang, Sara Behdad

Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T03A005, June 27–July 1, 2022

Publisher: American Society of Mechanical Engineers

Paper No: MSEC2022-85403

https://doi.org/10.1115/MSEC2022-85403

View Paper titled, Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Topics: Robotics, Screws

Proceedings Papers

Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment

Shuaizhou Hu, Xinyao Zhang, Hao-yu Liao, Xiao Liang, Minghui Zheng, Sara Behdad

Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A029, August 17–19, 2021

Publisher: American Society of Mechanical Engineers

Paper No: DETC2021-71403

https://doi.org/10.1115/DETC2021-71403

View Paper titled, Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment

Topics: Electronic equipment, Laptop computers, Machine learning

Proceedings Papers

Rayleigh-Taylor Instability of a Shock Accelerated Gas Water Interface

Xiao-Liang Wang, Motoyuki Itoh

Proc. ASME. IMECE2001, Fluids Engineering, 35-43, November 11–16, 2001

Publisher: American Society of Mechanical Engineers

Paper No: IMECE2001/FED-24929

https://doi.org/10.1115/IMECE2001/FED-24929

View Paper titled, Rayleigh-Taylor Instability of a Shock Accelerated Gas Water Interface

Topics: Bubbles, Cavities, Rayleigh-Taylor instability, Shock (Mechanics), Shock waves, Water

Proceedings Papers

Including Image-Based Perception in Disturbance Observer for Warehouse Drones

Zhu Chen, Xiao Liang, Minghui Zheng

Proc. ASME. DSCC2020, Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, V002T39A005, October 5–7, 2020

Publisher: American Society of Mechanical Engineers

Paper No: DSCC2020-3284

https://doi.org/10.1115/DSCC2020-3284

View Paper titled, Including Image-Based Perception in Disturbance Observer for Warehouse Drones

Topics: Unmanned aerial vehicles, Warehouses, Oscillations, Grasping, Signals, Artificial neural networks, Feedback, Feedforward control

Proceedings Papers

A Real-Time Receding Horizon Sequence Planner for Disassembly in a Human-Robot Collaboration Setting

Meng-Lun Lee, Sara Behdad, Xiao Liang, Minghui Zheng

Proc. ASME. ISFA2020, 2020 International Symposium on Flexible Automation, V001T04A004, July 8–9, 2020

Publisher: American Society of Mechanical Engineers

Paper No: ISFA2020-9657

https://doi.org/10.1115/ISFA2020-9657

View Paper titled, A Real-Time Receding Horizon Sequence Planner for Disassembly in a Human-Robot Collaboration Setting

Topics: Collaboration, Robots, Safety, Uncertainty, Damage, Shapes

Proceedings Papers

A Preliminary Study on a Physical Model Oriented Learning Algorithm With Application to UAVs

Minghui Zheng, Zhu Chen, Xiao Liang

Proc. ASME. DSCC2019, Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles, V003T17A009, October 8–11, 2019

Publisher: American Society of Mechanical Engineers

Paper No: DSCC2019-9186

https://doi.org/10.1115/DSCC2019-9186

View Paper titled, A Preliminary Study on a Physical Model Oriented Learning Algorithm With Application to UAVs

Topics: Algorithms, Unmanned aerial vehicles, Errors, Iterative learning control, Dynamics (Mechanics), Feedforward control, Physics, Reliability, Signals

Journal Articles

An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

Xingzhi Hu, Yanhui Duan, Ruili Wang, Xiao Liang, Jiangtao Chen

Publisher: ASME

J. Verif. Valid. Uncert. June 2019, 4(2): 021006.

Paper No: VVUQ-18-1032

https://doi.org/10.1115/1.4045200

Published Online: November 11, 2019

View Articletitled, An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

Topics: Dimensions, Response surface methodology, Uncertainty, Design, Errors

Proceedings Papers

Estimation of Rail Vertical Profile Using an H-Infinity Based Optimization With Learning

Xiao Liang, Minghui Zheng

Proc. ASME. JRC2019, 2019 Joint Rail Conference, V001T01A007, April 9–12, 2019

Publisher: American Society of Mechanical Engineers

Paper No: JRC2019-1266

https://doi.org/10.1115/JRC2019-1266

View Paper titled, Estimation of Rail Vertical Profile Using an H-Infinity Based Optimization With Learning

Topics: Optimization, Rails, Algorithms, Design, Surface roughness, Vehicles, Approximation, Maintainability, Maintenance, Optimal control

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Identification of Compound Faults in Rolling Bearing Based on Optimized Variational Mode Decomposition Modal Number and Characteristic Enhancement

Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning

Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks

Multi-Task Learning for Intention and Trajectory Prediction in Human-Robot Collaborative Disassembly Tasks

A Recurrent Neural Network Enhanced Unscented Kalman Filter for Human Motion Prediction

Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network

A Review of Prospects and Opportunities in Disassembly With Human–Robot Collaboration

Early Prediction of Human Intention for Human-Robot Collaboration Using Transformer Network

The Effect of Buckling Restraint on Axial Strain Life Fatigue Data

Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Design of Radiation Damage Monitoring Scheme for Materials in China Experimental Fast Reactor

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment

Rayleigh-Taylor Instability of a Shock Accelerated Gas Water Interface

Including Image-Based Perception in Disturbance Observer for Warehouse Drones

A Real-Time Receding Horizon Sequence Planner for Disassembly in a Human-Robot Collaboration Setting

A Preliminary Study on a Physical Model Oriented Learning Algorithm With Application to UAVs

An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

Estimation of Rail Vertical Profile Using an H-Infinity Based Optimization With Learning

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