Deep reinforcement learning in smart manufacturing: A review and prospects
To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …
[HTML][HTML] Robot learning towards smart robotic manufacturing: A review
Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …
manufacturing. Since the beginning of the first integration of industrial robots into production …
[HTML][HTML] Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions
Abstract Zero Defect Manufacturing is a disruptive concept that has the potential to entirely
reshape the manufacturing ideology. Building on the same quality management philosophy …
reshape the manufacturing ideology. Building on the same quality management philosophy …
Deep reinforcement learning in production systems: a systematic literature review
Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …
challenges for production systems. These not only have to cope with an increased product …
[HTML][HTML] Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges
Zero defect manufacturing (ZDM) aims at eliminating defects throughout the value stream as
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …
Augmented reality for human–robot collaboration and cooperation in industrial applications: A systematic literature review
With the continuously growing usage of collaborative robots in industry, the need for
achieving a seamless human–robot interaction has also increased, considering that it is a …
achieving a seamless human–robot interaction has also increased, considering that it is a …
Applications of explainable AI for 6G: Technical aspects, use cases, and research challenges
When 5G began its commercialisation journey around 2020, the discussion on the vision of
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …
Human–robot collaborations in smart manufacturing environments: review and outlook
The successful implementation of Human–Robot Collaboration (HRC) has become a
prominent feature of smart manufacturing environments. Key industrial requirements, such …
prominent feature of smart manufacturing environments. Key industrial requirements, such …
[HTML][HTML] Key enabling technologies for smart factory in automotive industry: status and applications
J Lee, PC Chua, L Chen, PHN Ng, Y Kim… - International Journal of …, 2023 - ijpem-st.org
In line with the unpredictable variety of demands and acceleration into the electric vehicle
era, automakers have efforted on smart factories utilizing new manufacturing platforms with …
era, automakers have efforted on smart factories utilizing new manufacturing platforms with …