[HTML][HTML] Human–robot collaboration and machine learning: A systematic review of recent research

F Semeraro, A Griffiths, A Cangelosi - Robotics and Computer-Integrated …, 2023 - Elsevier
Technological progress increasingly envisions the use of robots interacting with people in
everyday life. Human–robot collaboration (HRC) is the approach that explores the …

A review on machine learning styles in computer vision—techniques and future directions

SV Mahadevkar, B Khemani, S Patil, K Kotecha… - Ieee …, 2022 - ieeexplore.ieee.org
Computer applications have considerably shifted from single data processing to machine
learning in recent years due to the accessibility and availability of massive volumes of data …

Intelligent manufacturing execution systems: A systematic review

A Shojaeinasab, T Charter, M Jalayer, M Khadivi… - Journal of Manufacturing …, 2022 - Elsevier
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …

[HTML][HTML] Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models

A Buerkle, W Eaton, A Al-Yacoub, M Zimmer… - Robotics and Computer …, 2023 - Elsevier
Industrial robots form an integral part of today's manufacturing industry, due to their high
versatility, precision, and fatigue proof nature. Yet, many small and medium sized …

An AR-assisted Deep Reinforcement Learning-based approach towards mutual-cognitive safe human-robot interaction

C Li, P Zheng, Y Yin, YM Pang, S Huo - Robotics and Computer-Integrated …, 2023 - Elsevier
With the emergence of Industry 5.0, the human-centric manufacturing paradigm requires
manufacturing equipment (robots, etc.) interactively assist human workers to deal with …

Human–robot collaboration for on-site construction

M Zhang, R Xu, H Wu, J Pan, X Luo - Automation in Construction, 2023 - Elsevier
The rapid development of robotic technology makes transforming from manual activities to
human–robot collaboration (HRC) possible in construction. An HRC system can improve …

Generative AI and human–robot interaction: implications and future agenda for business, society and ethics

B Obrenovic, X Gu, G Wang, D Godinic, I Jakhongirov - AI & SOCIETY, 2024 - Springer
The revolution of artificial intelligence (AI), particularly generative AI, and its implications for
human–robot interaction (HRI) opened up the debate on crucial regulatory, business …

[HTML][HTML] Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines

MLR Rodríguez, S Kubler, A de Giorgio… - Robotics and Computer …, 2022 - Elsevier
In the context of Industry 4.0, companies understand the advantages of performing
Predictive Maintenance (PdM). However, when moving towards PdM, several …

[HTML][HTML] The expanding role of artificial intelligence in collaborative robots for industrial applications: A systematic review of recent works

A Borboni, KVV Reddy, I Elamvazuthi, MS AL-Quraishi… - Machines, 2023 - mdpi.com
A collaborative robot, or cobot, enables users to work closely with it through direct
communication without the use of traditional barricades. Cobots eliminate the gap that has …

Open-and closed-loop neural network verification using polynomial zonotopes

N Kochdumper, C Schilling, M Althoff, S Bak - NASA Formal Methods …, 2023 - Springer
We present a novel approach to efficiently compute tight non-convex enclosures of the
image through neural networks with ReLU, sigmoid, or hyperbolic tangent activation …