[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 …

[HTML][HTML] Towards a cognitive assistant supporting human operators in the Artificial Intelligence of Things

C Angulo, A Chacón, P Ponsa - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) systems are becoming increasingly complex due to
heterogeneity of devices and requirements for real-time processing and decision making. In …

[HTML][HTML] Advanced electronic and optoelectronic sensors, applications, modelling and industry 5.0 perspectives

A Massaro - Applied Sciences, 2023 - mdpi.com
This review will focus on advances in electronic and optoelectronic technologies by through
the analysis of a full research and industrial application scenario. Starting with the analysis …

[HTML][HTML] Integration of Deep Learning and Collaborative Robot for Assembly Tasks

E Mendez, O Ochoa, D Olivera-Guzman… - Applied Sciences, 2024 - mdpi.com
Human–robot collaboration has gained attention in the field of manufacturing and assembly
tasks, necessitating the development of adaptable and user-friendly forms of interaction. To …

Robot programming by demonstration with a monocular RGB camera

K Wang, T Tang - Industrial Robot: the international journal of robotics …, 2023 - emerald.com
Purpose This paper aims to present a new approach for robot programming by
demonstration, which generates robot programs by tracking 6 dimensional (6D) pose of the …

[HTML][HTML] Applications of collaborative robots in agile manufacturing: a review

S Kakade, B Patle, A Umbarkar - Robotic Systems and Applications, 2023 - extrica.com
Collaborative robots are machines that work hand in hand with humans; or as the name
suggests, collaborate with them in a specific workspace. These robots are not enclosed in …

Multiagent Hierarchical Reinforcement Learning with Asynchronous Termination applied to Robotic Pick and Place

X Lan, Y Qiao, B Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Recent breakthroughs in hierarchical multi-agent deep reinforcement learning (HMADRL)
are propelling the development of sophisticated multi-robot systems, particularly in the realm …

[HTML][HTML] Cost Calculation and Deployment Strategies for Collaborative Robots in Production Lines: An Innovative and Sustainable Perspective in Knowledge-Based …

AM Țîțu, V Gusan, M Dragomir, AB Pop, Ș Țîțu - Sustainability, 2024 - mdpi.com
This scientific paper explores the increasingly widespread use of collaborative and industrial
robots in the industrial environment, highlighting them as a solution to challenges related to …

Deep reinforcement learning in mobile robotics–a concise review

RG Prasuna, SR Potturu - Multimedia Tools and Applications, 2024 - Springer
Mobile robotics is one of the emerging research area in the robotics. The recently evolving
techniques, artificial intelligence and precise hardware controller design gave new scope in …

Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm

C Bellinger, L Lamarche-Cliche - arXiv preprint arXiv:2308.14652, 2023 - arxiv.org
As technology progresses, industrial and scientific robots are increasingly being used in
diverse settings. In many cases, however, programming the robot to perform such tasks is …