Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …

Sequence-wise recommendation, where recommend exercises to each student step by step,
is one of the most exciting tasks in the field of intelligent tutoring systems (ITS). It is important …

Brush stroke training models for Chinese brush play an important role in robotic Chinese
calligraphy as the basis of stroke generation. How to combine the end-to-end method and …

The use of robots is being widely considered to ensure the inheritance of calligraphy, which
is a cultural art peculiar to China and Japan. Many researchers have attempted to generate …

With the advent of the era of media convergence, the storage management and inheritance
of excellent traditional Chinese culture will usher in new opportunities, creating new …

The writing sequence of numerals or letters often affects aesthetic aspects of the writing
outcomes. As such, it remains a challenge for robotic calligraphy systems to perform …

Brush stroke models play an important role in robotic Chinese calligraphy as the basis of
calligraphy stroke generation and are helpful for training models to write robotic Chinese …

The ability of robots to write Chinese strokes, which is recognized as a sophisticated task,
involves complicated kinematic control algorithms. The conventional approaches for robotic …

Human-like planning skills and dexterous manipulation have long posed challenges in the
fields of robotics and artificial intelligence (AI). The task of reinterpreting calligraphy presents …

In robotic Chinese calligraphy, the brush stroke training models for Chinese hairy brushes
play a crucial role in stroke generation. The method of combining end-to-end techniques …