Gesture recognition for human-robot collaboration: A review
Recently, the concept of human-robot collaboration has raised many research interests.
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …
Deep learning-based human motion recognition for predictive context-aware human-robot collaboration
Timely context awareness is key to improving operation efficiency and safety in human-robot
collaboration (HRC) for intelligent manufacturing. Visual observation of human workers’ …
collaboration (HRC) for intelligent manufacturing. Visual observation of human workers’ …
A new pan-sharpening method with deep neural networks
W Huang, L Xiao, Z Wei, H Liu… - IEEE Geoscience and …, 2015 - ieeexplore.ieee.org
A deep neural network (DNN)-based new pansharpening method for the remote sensing
image fusion problem is proposed in this letter. Research on representation learning suggests …
image fusion problem is proposed in this letter. Research on representation learning suggests …
Remote human–robot collaboration: A cyber–physical system application for hazard manufacturing environment
Collaborative robot's lead-through is a key feature towards human–robot collaborative
manufacturing. The lead-through feature can release human operators from debugging complex …
manufacturing. The lead-through feature can release human operators from debugging complex …
[HTML][HTML] Decreased expression of hsa_circ_001988 in colorectal cancer and its clinical significances
…, J Zhang, F Pan, B Li, Y Yan, B Jia, H Liu… - … journal of clinical and …, 2015 - ncbi.nlm.nih.gov
Circular RNA (circRNA) is a type of RNAs which, unlike the better known linear RNA, forms
a covalently closed continuous loop. They have emerged recently as a new player in …
a covalently closed continuous loop. They have emerged recently as a new player in …
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM
W Huang, H Liu, Y Zhang, R Mi, C Tong, W Xiao… - Applied Soft …, 2021 - Elsevier
In this paper, three algorithms are applied to obtain the parameters of Radial Basis Function
(RBF) kernels of Support Vector Machines (SVM), which include: PSO (Particle Swarm …
(RBF) kernels of Support Vector Machines (SVM), which include: PSO (Particle Swarm …
Collision-free human-robot collaboration based on context awareness
Recent advancements in human-robot collaboration have enabled human operators and
robots to work together in a shared manufacturing environment. However, current distance-…
robots to work together in a shared manufacturing environment. However, current distance-…
Human motion prediction for human-robot collaboration
In human-robot collaborative manufacturing, industrial robots would work alongside human
workers who jointly perform the assigned tasks seamlessly. A human-robot collaborative …
workers who jointly perform the assigned tasks seamlessly. A human-robot collaborative …
Overview of human-robot collaboration in manufacturing
Human-robot collaboration (HRC) in the manufacturing context aims to realise a shared
workspace where humans can work side by side with robots in close proximity. In human-robot …
workspace where humans can work side by side with robots in close proximity. In human-robot …
Multilingual machine translation with large language models: Empirical results and analysis
Large language models (LLMs) have demonstrated remarkable potential in handling multilingual
machine translation (MMT). In this paper, we systematically investigate the advantages …
machine translation (MMT). In this paper, we systematically investigate the advantages …
