Training machines to synthesize diverse handwritings is an intriguing task. Recently, RNN-
based methods have been proposed to generate stylized online Chinese characters …

Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …

Forgery of a signature with the aim of deception is a serious crime. Machine learning is often
employed to detect real and forged signatures. In this study, we present results which argue …

Building interpretable parameterizations of real-world decision-making on the basis of
demonstrated behavior--ie trajectories of observations and actions made by an expert …

As robots are entering into educational fields to enhance children's learning, it becomes
relevant to explore different methods of learning in the area of child–robot interaction. In this …

As a combination of robotic motion planning and Chinese calligraphy culture, robotic
calligraphy plays a significant role in the inheritance and education of Chinese calligraphy …

Social robots are being used to create better educational scenarios, thereby fostering
children» s learning. In the work presented here, we describe an autonomous social robot …

Intelligent robots, as an important type of Cyber–Physical systems, have promising potential
to take the central stage in the development of the next-generation of efficient smart systems …

This article designs a robotic Chinese character writing system that can resist random
human interference. Firstly, an innovative stroke extraction method of Chinese characters …

We contribute a learning from demonstration approach for robots to acquire skills from multi-
modal high-dimensional data. Both latent representations and associations of different …