Towards advanced manufacturing systems for large parts: a review
L Yong, M Zhifu, X Yuan - The International Journal of Advanced …, 2023 - Springer
Large-mechanical-part machining is a very important trend for modern industry to develop,
and it has attracted a lot of attention from advanced industries. As an important element of …
and it has attracted a lot of attention from advanced industries. As an important element of …
Adaptive multimodal localisation techniques for mobile robots in unstructured environments: A review
N O'Mahony, S Campbell, A Carvalho… - 2019 IEEE 5th World …, 2019 - ieeexplore.ieee.org
Mobile robots can be integrated as an entity in the new paradigm of the Internet of Things
(IoT) and can be instrumental in extending sensing and manipulation capabilities to remote …
(IoT) and can be instrumental in extending sensing and manipulation capabilities to remote …
A framework for robotic arm pose estimation and movement prediction based on deep and extreme learning models
IR Rodrigues, M Dantas, AT de Oliveira Filho… - The Journal of …, 2023 - Springer
Human-robot collaboration has gained a notable prominence in Industry 4.0, as the use of
collaborative robots increases efficiency and productivity in the automation process …
collaborative robots increases efficiency and productivity in the automation process …
A Tensor‐based Regression Approach for Human Motion Prediction
L Gril, P Wedenig, C Torkar… - Quality and Reliability …, 2023 - Wiley Online Library
Collaborative robotic systems will be a key enabling technology for current and future
industrial applications. The main aspect of such applications is to guarantee safety for …
industrial applications. The main aspect of such applications is to guarantee safety for …
Multi-objective convolutional neural networks for robot localisation and 3d position estimation in 2d camera images
J Miseikis, I Brijacak, S Yahyanejad… - 2018 15th …, 2018 - ieeexplore.ieee.org
The field of collaborative robotics and human-robot interaction often focuses on the
prediction of human behaviour, while assuming the information about the robot setup and …
prediction of human behaviour, while assuming the information about the robot setup and …
Full-Body Pose Estimation of Humanoid Robots Using Head-Worn Cameras for Digital Human-Augmented Robotic Telepresence
We envision a telepresence system that enhances remote work by facilitating both physical
and immersive visual interactions between individuals. However, during robot teleoperation …
and immersive visual interactions between individuals. However, during robot teleoperation …
Toward a robot swarm protecting a group of migrants
Different geopolitical conflicts of recent years have led to mass migration of several civilian
populations. These migrations take place in militarized zones, indicating real danger …
populations. These migrations take place in militarized zones, indicating real danger …
An augmented interface to display industrial robot faults
Technology advancement is changing the way industrial factories have to face an
increasingly complex and competitive market. The fourth industrial revolution (known as …
increasingly complex and competitive market. The fourth industrial revolution (known as …
G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation
Robot pose estimation plays a fundamental role in various applications involving service
and industrial robots. Among the methods used for robot pose estimation from a single …
and industrial robots. Among the methods used for robot pose estimation from a single …
Charting the state-of-the-art in the application of convolutional neural networks to quality control in industry 4.0 and smart manufacturing
This paper summarizes the theory behind state-of-the-art convolutional neural networks and
investigates how they can applied to some of the challenges in Industry 4.0. Following an …
investigates how they can applied to some of the challenges in Industry 4.0. Following an …