Difficulty and complexity definitions for assembly task allocation and assignment in human–robot collaborations: A review
T Kiyokawa, N Shirakura, Z Wang, N Yamanobe… - Robotics and Computer …, 2023 - Elsevier
This paper presents a literature review on the different aspects of task allocation and
assignment problems in human–robot collaboration (HRC) tasks in industrial assembly …
assignment problems in human–robot collaboration (HRC) tasks in industrial assembly …
How can artificial intelligence enhance car manufacturing? A Delphi study-based identification and assessment of general use cases
The latest boom of artificial intelligence (AI) has left the information management community
in strong need of structure-providing, high-level overview works. Such works are supposed …
in strong need of structure-providing, high-level overview works. Such works are supposed …
Implementation of soft computing techniques in predicting and optimizing the operating parameters of compression ignition diesel engines: State-of-the-art review …
SM More, J Kakati, S Pal… - … of Computing and …, 2022 - asmedigitalcollection.asme.org
Fossil fuels being the primary source of energy to global industrialization and rapid
development are being consumed at an alarming rate, thus creating a dire need to search …
development are being consumed at an alarming rate, thus creating a dire need to search …
[PDF][PDF] Shall we use it or not? Explaining the adoption of artificial intelligence for car manufacturing purposes
Q Demlehner, S Laumer - 2020 - opus4.kobv.de
Artificial intelligence (AI) is said to incorporate enormous potential for reducing the
operational costs of car manufacturers and their suppliers all over the globe. Nevertheless …
operational costs of car manufacturers and their suppliers all over the globe. Nevertheless …
An integrative machine learning method to improve fault detection and productivity performance in a cyber-physical system
MC Chiu, CD Tsai, TL Li - … of Computing and …, 2020 - asmedigitalcollection.asme.org
A cyber-physical system (CPS) is one of the key technologies of industry 4.0. It is an
integrated system that merges computing, sensors, and actuators, controlled by computer …
integrated system that merges computing, sensors, and actuators, controlled by computer …
Toward the rapid design of engineered systems through deep neural networks
C McComb - Design Computing and Cognition'18, 2019 - Springer
The design of a system commits a significant portion of the final cost of that system. Many
computational approaches have been developed to assist designers in the analysis (eg …
computational approaches have been developed to assist designers in the analysis (eg …
How the Terminator might affect the car manufacturing industry: Examining the role of pre-announcement bias for AI-based IS adoptions
The steep development of artificial intelligence (AI) is accompanied by a completely new set
of challenges for information systems (IS) research and practice, especially in the area of …
of challenges for information systems (IS) research and practice, especially in the area of …
Novice engineer vs. machine: comparing artificial neural network predictions with student estimates of market price using function structure models
This paper investigates the use of Artificial Neural Networks (ANN) to model human
behaviour in early-stage engineering design; specifically, by comparing the predictive …
behaviour in early-stage engineering design; specifically, by comparing the predictive …
Real-time defect detection of saw chains on automatic assembly lines based on residual networks and knowledge coding
F Zhang, T Wu, S Liu, Y Zhu, L Chen… - Engineering Applications of …, 2024 - Elsevier
The use of machine vision methods has rapidly developed for detecting product defects, but
it remains challenging to identify shape and color defects as well as the assembly …
it remains challenging to identify shape and color defects as well as the assembly …
ANN crowds in early-stage design: an investigation of influence of small training sets on prediction
The objective of this paper is to present and evaluate an approach to early-stage design
product performance predicting that employs the “wisdom of the crowd” of artificial neural …
product performance predicting that employs the “wisdom of the crowd” of artificial neural …