4 accepted papers
Recent advances in research have demonstrated that Vision-Language Models (VLMs) are a promising technology for robot task planning. This paper presents a novel approach that leverages visual prompts and VLMs to generate feasible robot action sequences for achieving shared tasks through human-robot
In recent studies, the widespread of deep learning has made many kinds of large-scale image datasets available and it has enabled to improve the performance of image-based 3-D scene reconstruction. Several studies estimate whole 3-D scenes including occluded or unseen parts consistent with the obtai…
Robots are required to support people's work. In order to alleviate the burden on people, it is desirable that robot can automatically generate and execute complicated motions according to simple directions from people. However, there are multiple grasping methods for one object. In order to select…
The auto-encoder method is a type of dimensionality reduction method. A mapping from a vector to a descriptor that represents essential information can be automatically generated from a set of vectors without any supervising information. However, an image and its spatially shifted version are encode…