Sufficiently perceiving the environment is a critical factor in robot mo...
This study investigated the effect of synthetic voice of conversational ...
We propose a new method for collision-free path planning by Conditional
...
Learning to control a robot commonly requires mapping between robot stat...
We show a new method for collision-free path planning by cGANs by mappin...
We achieved contact-rich flexible object manipulation, which was difficu...
Selection of appropriate tools and use of them when performing daily tas...
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 ...
Deep learning provides a powerful framework for automated acquisition of...
For robotic applications, its task performance and operation must be
gua...
This paper proposes an approach for robots to perform co-working task
al...
In this paper, we propose a mixture of probabilistic partial canonical
c...