Special Issue on Human-Robot Collaboration in Industry 5.0
Journal of Computing and Information Science in Engineering
Modern manufacturing systems are expected to evolve into highly automated and intelligent systems capable of handling complex tasks. However, certain manual operations persist on the shop floor that are either impractical or unattainable without human involvement. Industry 5.0 has emerged as a practical approach that complements the existing Industry 4.0 paradigm by emphasizing the transition toward sustainable, human-centric, and resilient manufacturing. Human-robot collaboration (HRC) is considered pivotal in this transition, wherein robots collaborate with human partners to automate physically demanding tasks and integrate humans' high-level cognition and decision-making. Unfortunately, current HRC methods have seen limited deployment in industries, facing challenges related to understanding, communication, building trust between humans and robots, effective interfaces, task division, allocation, and optimization. Recent advancements in areas including AI, computer vision, extended reality, IIoT, advanced sensing, digital twins, and data analytics provide new affordance to address the aforementioned challenges. For this purpose, this special issue seeks to explore and compile the forefront of research and innovation in HRC within the context of Industry 5.0.Topic Areas
THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO:
- Multi-modal natural interactions and interfaces for HRC
- Augmented/Mixed/Extended reality (AR/MR/XR) for HRC
- Large Language Model (LLM), Vision Transformers (ViTs), and other large models based multi-modal HRC
- Human intent understanding, motion analysis, and action prediction
- Digital twins and model-based methods for HRC
- Tasks analysis, division, and optimization for HRC
- Environment sensing, situational awareness, 3D reconstruction, and perception for HRC
- Adaptive robot motion planning methods and interfaces
- Trust building and cognition aspects related to robots
- Ergonomics/human factors in HRC
Submission Instructions
Papers should be submitted electronically to the journal through the ASME Journal Tool. If you already have an account, log in as an author and select Submit Paper. If you do not have an account, you can create one here.Once at the Paper Submittal page, select the Journal of Computing and Information Science in Engineering, and then select the Special Issue on Human-Robot Collaboration in Industry 5.0 .
Papers received after the deadline or papers not selected for the Special Issue may be accepted for publication in a regular issue.
Guest Editors
Dr. Chih-Hsing Chu, National Tsing Hua University, Taiwan (chchu@ie.nthu.edu.tw)
Dr. Yunbo “WILL” Zhang, Rochester Institute of Technology, USA (ywzeie@rit.edu)
Dr. Francesco Ferrise, Politecnico di Milano, Italy (francesco.ferrise@polimi.it)
Dr. Pai Zheng, The Hong Kong Polytechnic University, China (pai.zheng@polyu.edu.hk)
Dr. Qing (Cindy) Chang, University of Virginia, USA (qc9nq@virginia.edu)