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Issues
May 2025
ISSN 1530-9827
EISSN 1944-7078
In this Issue
Special Issue: Human–Robot Collaboration in Industry 5.0
Guest Editorial
Special Issue: Human–Robot Collaboration in Industry 5.0
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 050301.
doi: https://doi.org/10.1115/1.4068118
Topics:
Collaboration
,
Human-robot collaboration
,
Machinery
,
Manufacturing
,
Robots
,
Safety
Review Article
Toward Embodied Intelligence-Enabled Human–Robot Symbiotic Manufacturing: A Large Language Model-Based Perspective
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 050801.
doi: https://doi.org/10.1115/1.4068235
Topics:
Collaboration
,
Large language models
,
Manufacturing
,
Robots
Research Papers
Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051001.
doi: https://doi.org/10.1115/1.4067987
Topics:
Artificial neural networks
,
Computers
,
Electronics
,
Errors
,
Machine learning
,
Robots
,
Testing
,
Uncertainty
,
Human-robot collaboration
,
Safety
Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051002.
doi: https://doi.org/10.1115/1.4067157
Topics:
Human-robot collaboration
,
Robots
,
Trajectories (Physics)
Dynamic Tip-Over Avoidance Method for Mobile Manipulators Based on the Extended Zero-Moment Point Algorithm for Human–Robot Collaboration
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051003.
doi: https://doi.org/10.1115/1.4067523
Topics:
Algorithms
,
Manipulators
,
Robots
,
Stability
,
Weight (Mass)
Estimating Motor Control Difficulty in Human–Robot Fine Co-Manipulation Tasks Using Brain Activities
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051004.
doi: https://doi.org/10.1115/1.4068083
An Experimental Study on the Design of Interaction Modalities in Augmented Reality for Industrial Robot Programming
J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051005.
doi: https://doi.org/10.1115/1.4068084
Topics:
Augmented reality
,
Computer programming
,
Design
,
Robots
,
Rotation
,
Switches
,
Manufacturing
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3D-ADCS: Untrained 3DAnomaly Detection for Complex Manufacturing Surfaces
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