AI-driven Human-Robot Collaboration in Intralogistics Systems
DETAILS
Call for Papers
AI-driven Human-Robot Collaboration in Intralogistics Systems
Journal: International Journal of Production Research
Publisher: Taylor & Francis Group
Manuscript Deadline: 30 June 2026
About the Special Issue
This Special Issue explores the transformative potential of Artificial Intelligence (AI)-driven Human-Robot Collaboration (HRC) in intralogistics systems, including warehouses, distribution centres, manufacturing plants, container terminals, and emerging retail environments.
As e-commerce growth, fragmented demand patterns, labour shortages, and rising operational complexity continue to reshape logistics operations, organizations are increasingly integrating robotics technologies such as Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs), robotic arms, and robotic fulfilment systems. However, many intralogistics activities still require human dexterity, contextual decision-making, and adaptability, making effective human-robot collaboration a strategic necessity.
The Special Issue seeks to advance theoretical and practical understanding of how AI technologies—including machine learning, computer vision, reinforcement learning, and large language models (LLMs)—can enhance collaboration between humans and robots, improve operational performance, and create safer, more adaptive, and efficient intralogistics systems.
Topics of Interest
Submissions may address, but are not limited to:
AI-driven planning and control for human-robot collaborative intralogistics operations
Real-time decision-making and task allocation in shared human-robot workspaces
Safety, trust, and explainability of AI in HRC environments
Adaptive interfaces and communication using AI-driven perception and language models
Digital twins and simulation-based optimization for AI-enabled HRC systems
Human factors, ergonomics, and cognitive workload in AI-supported collaboration
Learning-based approaches for robot training and co-adaptation with human workers
Applications of generative AI and large language models (LLMs) in warehouses
Industrial case studies and implementations of AI-powered HRC systems
Ethical, social, and organizational implications of AI in collaborative environments
Human-robot collaboration for warehouse automation and order fulfilment systems
AI-enabled approaches for improving operational flexibility and workforce well-being
Submission Guidelines
The Special Issue welcomes theoretical, empirical, interdisciplinary, modelling, and case-based research.
Contributions integrating perspectives from operations management, engineering, ergonomics, cognitive science, and artificial intelligence are particularly encouraged.
Manuscripts should be prepared according to the International Journal of Production Research author guidelines and submitted through the journal's online submission system.
All submissions will undergo the journal's standard peer-review process.
Important Date
Manuscript Submission Deadline: 30 June 2026
Special Issue Editors
Benedict Jun Ma, Hong Kong University of Science and Technology (Guangzhou), China
George Q. Huang, The Hong Kong Polytechnic University, Hong Kong SAR
René de Koster, Erasmus University, Netherlands
Yong-Hong Kuo, The University of Hong Kong, Hong Kong SAR
Shenle Pan, Mines Paris, PSL University, France
Ilya Jackson, Massachusetts Institute of Technology, USA
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