Qing Chang

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Stony Brook University

United States

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Recent Grants

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Coordinated Supervisory Control System for Smart Manufacturing

Open Date: 2019-09-15

Close Date: 2022-08-31

Grant: Close

CAREER: Collaborative Modeling for Distributed Sensing and Real-time Intelligent Control to Improve Battery manufacturing Productivity and Efficiency

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Grant: Close

GOALI/Collaborative Research: Fundamental Study of Impacts of Manufacturing Processes and Automation on Material Properties of Composite Products

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Articles (20)

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2021

Collaborators (3)

Peter Beling

Professor

Virginia Tech

UNITED STATES

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Muhammad Waseem

University of Virginia

UNITED STATES

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John Sutherland

Professor and Head

Purdue University

UNITED STATES

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Qing Chang

Research Interests

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Contact this professor

Recent Grants

Articles (20)

Machine learning-enhanced digital twins for predictive analytics in battery pack assembly

Demand-driven hierarchical integrated planning-scheduling control for a mobile robot-operated flexible smart manufacturing system

Aggregative Game Analysis for Energy Consumption of Multizone HVAC Systems

Generalizing kinematic skill learning to energy efficient dynamic motion planning using optimized Dynamic Movement Primitives

Train small, deploy large: Scaling multi-agent reinforcement learning for multi-stage manufacturing lines

Hierarchical Learning for Robotic Assembly Tasks Leveraging Learning from Demonstration

Distributed algorithms of stochastic games for robot systems in smart manufacturing

Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey

From Nash Q-learning to nash-MADDPG: Advancements in multiagent control for multiproduct flexible manufacturing systems

Task-oriented safety field for robot control in human-robot collaborative assembly based on residual learning

An integrated control strategy for simultaneous robot assignment, tool change and preventive maintenance scheduling using Heterogeneous Graph Neural Network

Dynamic modeling and analysis of multi-product flexible production line

Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control

User-guided motion planning with reinforcement learning for human-robot collaboration in smart manufacturing

Energy-Saving Control in Multistage Production Systems Using a State-Based Method

Hybrid feedback and reinforcement learning-based control of machine cycle time for a multi-stage production system

Dynamic Robot Assignment for Flexible Serial Production Systems

Integrated Process-System Modeling and Performance Analysis for Serial Production Lines

Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems

Data-Enabled Permanent Production Loss Analysis for Serial Production Systems With Variable Cycle Time Machines

Collaborators (3)

Peter Beling

Muhammad Waseem

John Sutherland

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