Physical human-robot collaboration (pHRC) requires both compliance and s...
Graph neural networks (GNNs) have achieved great success in many scenari...
In the classic setting of unsupervised domain adaptation (UDA), the labe...
Pose variation is one of the key factors which prevents the network from...
G-images refer to image data defined on irregular graph domains. This wo...
A deep-learning based hybrid strategy for short-term load forecasting is...
In this paper, robust control with sea state observer and dynamic thrust...
A saliency guided hierarchical visual tracking (SHT) algorithm containin...
In this paper, a robust visual tracking approach via mixed model based
c...
Accurately estimating the remaining useful life (RUL) of industrial mach...
Computer vision based fine-grained recognition has received great attent...
Action recognition is a critical task for social robots to meaningfully
...
In this paper, we present the Role Playing Learning (RPL) scheme for a m...