The application of the Large Language Model (LLM) to robot action planni...
A deep learning-based approach can generalize model performance while
re...
This study achieved bidirectional translation between descriptions and
a...
The training data distribution is often biased towards objects in certai...
Stream-based active learning (AL) is an efficient training data collecti...
We propose a promising neural network model with which to acquire a grou...
In this study, we report the successful execution of in-air knotting of ...
In recent years, a variety of tasks have been accomplished by deep
reinf...
Japanese character figurines are popular and have pivot position in Otak...
It is a big problem that a model of deep learning for a picking robot ne...
For robotic applications, its task performance and operation must be
gua...
Self-supervised learning methods are attractive candidates for automatic...
This paper proposes an approach for robots to perform co-working task
al...