Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
Towards a circular economy for electrical products: A systematic literature review and research agenda for automated recycling
The growing need for sustainable waste management, especially for electronic waste (e-
waste), has gained attention due to its environmental and economic implications. Despite …
waste), has gained attention due to its environmental and economic implications. Despite …
A novel knowledge-driven flexible human–robot hybrid disassembly line and its key technologies for electric vehicle batteries
H Zhang, Y Zhang, Z Wang, S Zhang, H Li… - Journal of Manufacturing …, 2023 - Elsevier
Based on the unique problems and challenges in the disassembly scenario of waste electric
vehicle batteries (EVBs), we propose a knowledge-driven flexible human–robot hybrid …
vehicle batteries (EVBs), we propose a knowledge-driven flexible human–robot hybrid …
Robot-assisted disassembly sequence planning with real-time human motion prediction
This article presents a disassembly task planning algorithm considering human–robot
collaboration (HRC) and human behavior prediction (HBP). Unlike assembly procedures …
collaboration (HRC) and human behavior prediction (HBP). Unlike assembly procedures …
Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision
To develop vision systems for autonomous robotic disassembly, this paper presents a dual-
loop implementation architecture that enables a robot vision system to learn from human …
loop implementation architecture that enables a robot vision system to learn from human …
Convolutional neural network–based classification for improving the surface quality of metal additive manufactured components
PM Abhilash, A Ahmed - The International Journal of Advanced …, 2023 - Springer
The metal additive manufacturing (AM) process has proven its capability to produce
complex, near-net-shape products with minimal wastage. However, due to its poor surface …
complex, near-net-shape products with minimal wastage. However, due to its poor surface …
[HTML][HTML] An accurate activate screw detection method for automatic electric vehicle battery disassembly
With the increasing popularity of electric vehicles, the number of end-of-life (EOF) electric
vehicle batteries (EVBs) is also increasing day by day. Efficient dismantling and recycling of …
vehicle batteries (EVBs) is also increasing day by day. Efficient dismantling and recycling of …
Machine learning based screw drive state detection for unfastening screw connections
A Al Assadi, D Holtz, F Nägele, C Nitsche… - Journal of Manufacturing …, 2022 - Elsevier
The electrification of the transport sector, limited primary materials, and the resulting need for
a circular economy drives the automated disassembly of End of Life battery systems …
a circular economy drives the automated disassembly of End of Life battery systems …
You Only Demanufacture Once (YODO): WEEE retrieval using unsupervised learning
Recent developments in robotic demanufacturing raise the potential to increase the cost-
efficiency of recycling and recovering resources from Waste of Electrical and Electronic …
efficiency of recycling and recovering resources from Waste of Electrical and Electronic …
End-of-life electric vehicle battery disassembly enabled by intelligent and human-robot collaboration technologies: A review
Electric vehicles (EVs) have been experiencing radical growth to embrace the ambitious
targets of decarbonisation and circular economies. The trend has led to a significant surge in …
targets of decarbonisation and circular economies. The trend has led to a significant surge in …