Securing large language models: Addressing bias, misinformation, and prompt attacks

B Peng, K Chen, M Li, P Feng, Z Bi, J Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) demonstrate impressive capabilities across various fields,
yet their increasing use raises critical security concerns. This article reviews recent literature …

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series

R Sapkota, R Qureshi, MF Calero, C Badjugar… - arXiv preprint arXiv …, 2024 - arxiv.org
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

Towards smart product-service systems 2.0: A retrospect and prospect

M Ren, P Zheng - Advanced Engineering Informatics, 2024 - Elsevier
Smart product-service systems (Smart PSS), first coined in 2014 as a digital servitization
paradigm, have experienced rapid development, especially in the past 5 years …

Embodied intelligence toward future smart manufacturing in the era of AI foundation model

L Ren, J Dong, S Liu, L Zhang… - IEEE/ASME Transactions …, 2024 - ieeexplore.ieee.org
Embodied intelligence has always been regarded as the ultimate form of artificial
intelligence (AI) and an ideal concept for smart manufacturing. With the development of AI …

[PDF][PDF] Cognitive architectures for autonomous robots: Towards human-level autonomy and beyond

M Ogunsina, CP Efunniyi, OS Osundare… - … Journal of Frontline …, 2024 - researchgate.net
Achieving human-level autonomy in robots is a complex and multifaceted challenge that
requires the development of advanced cognitive architectures. This paper proposes a …

Trustworthy AI for human-centric smart manufacturing: A survey

D Li, S Liu, B Wang, C Yu, P Zheng, W Li - Journal of Manufacturing …, 2025 - Elsevier
Human-centric smart manufacturing (HCSM) envisions a symbiotic relationship between
humans and machines, leveraging human capability and Artificial Intelligence (AI)'s …

An E-skin for handwriting input at human-machine interface

H Xiang, Z Li, Z Bai, H Wu, G Liu, H Zhou… - Chemical Engineering …, 2024 - Elsevier
Wearable human–machine interaction remains a huge challenge when various flexible
electronics have been developed to date, for which the information input seems more …

[HTML][HTML] From caged robots to high-fives in robotics: Exploring the paradigm shift from human–robot interaction to human–robot teaming in human–machine interfaces

F Sanfilippo, MH Zafar, T Wiley, F Zambetta - Journal of Manufacturing …, 2025 - Elsevier
Multi-modal human–machine interfaces have recently undergone a remarkable
transformation, progressing from simple human–robot interaction (HRI) to more advanced …

Enhancing human-guided robotic assembly: AR-assisted DT for skill-based and low-code programming

Y Yin, P Zheng, C Li, K Wan - Journal of Manufacturing Systems, 2024 - Elsevier
Efficient and natural programming strategies play a crucial role in enabling human-guided
robotic assembly to adapt quickly to dynamic tasks. The combination of Augmented Reality …

An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing

T Wang, J Fan, P Zheng - Journal of Manufacturing Systems, 2024 - Elsevier
Abstract Industry 5.0 prioritizes Human-centric Smart Manufacturing (HSM), aiming to
enhance human operators' well-being and needs. This necessitates collaborative robots …