[HTML][HTML] Robot learning towards smart robotic manufacturing: A review

Z Liu, Q Liu, W Xu, L Wang, Z Zhou - Robotics and Computer-Integrated …, 2022 - Elsevier
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 …

Significant applications of machine learning for COVID-19 pandemic

S Kushwaha, S Bahl, AK Bagha, KS Parmar… - Journal of Industrial …, 2020 - World Scientific
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

J Luo, W He, C Yang - Cognitive Computation and Systems, 2020 - Wiley Online Library
Teleoperation provides a promising way for human–robot collaboration in the unknown or
unstructured environments to perform a cooperative task. It enables humans to complete a …

[HTML][HTML] Robust real-time detection of laparoscopic instruments in robot surgery using convolutional neural networks with motion vector prediction

K Jo, Y Choi, J Choi, JW Chung - Applied Sciences, 2019 - mdpi.com
More than half of post-operative complications can be prevented, and operation
performances can be improved based on the feedback gathered from operations or …

Teleoperator-robot-human interaction in manufacturing: Perspectives from industry, robot manufacturers, and researchers

S Kim, I Hernandez, MA Nussbaum… - IISE Transactions on …, 2024 - Taylor & Francis
OCCUPATIONAL APPLICATIONS Industrial robots have become an important aspect in
modern industry. In the context of human-robot collaboration, enabling teleoperated robots …

[HTML][HTML] Novel design and lateral stability tracking control of a four-wheeled rollator

X Zhang, J Li, Z Hu, W Qi, L Zhang, Y Hu, H Su… - Applied Sciences, 2019 - mdpi.com
Featured Application A rollator is an integrated functional application used clinically to
empower and assist natural human mobility for the elderly or disabled users. In this paper …

[HTML][HTML] Development of an IoT-based solution incorporating biofeedback and fuzzy logic control for elbow rehabilitation

Y Bouteraa, I Ben Abdallah, A Ibrahim, TA Ahanger - Applied Sciences, 2020 - mdpi.com
The last few years have seen significant advances in neuromotor rehabilitation
technologies, such as robotics and virtual reality. Rehabilitation robotics primarily focuses on …

Neural approximation enhanced predictive tracking control of a novel designed four-wheeled rollator

X Zhang, J Li, K Fan, Z Chen, Z Hu, Y Yu - Applied Sciences, 2019 - mdpi.com
Featured Application With the population explosion, the inconvenience of travel for the
elderly has gradually become a matter of society. How to promote the safety assistance …

The modularization design and autonomous motion control of a new baby stroller

C Zhang, Z He, X He, W Shen, L Dong - Frontiers in Human …, 2022 - frontiersin.org
The increasing number of newborns has stimulated the infant market. In particular, the baby
stroller, serving as an important life partner for both babies and parents, has attracted more …

Fuzzy logic-based connected robot for home rehabilitation

Y Bouteraa, IB Abdallah, A Ibrahim… - Journal of Intelligent …, 2021 - content.iospress.com
In this paper, a robotic system dedicated to remote wrist rehabilitation is proposed as an
Internet of Things (IoT) application. The system offers patients home rehabilitation. Since the …