With the robots tending to accumulate more and more capabilities beyond the level of acting
in a deterministic fashion, the idea of introducing them into our every day lives seems to be …

There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …

The ability to recognize a product on the shelf of a retail store is an ordinary human skill. The
same recognition problem presents an exceptional challenge for machine vision systems …

The purpose of this study is to identify different types of technology-based retail services
(TBRS) for brick and mortar environments and analyze them by developing a framework that …

Identifying various products on the racks of supermarkets is a very easy task for human
beings. But, when the same identification task is given to a computer vision based system, it …

A method for automatically mapping a store layout includes identifying a path for traversing a
retail area and capturing images of the retail area at various points along the path. The …

Digitalization, as well as sustainability, are gaining increased relevance and have attracted
significant attention in research and practice. However, the research already published …

In this paper, we study the problem of mobile target tracking using the fewest number of
mobile trackers for two different types of targets. Given the target trajectories and the period …

Grocery shoppers must negotiate cluttered, crowded, and complex store layouts containing
a vast variety of products to make their intended purchases. This complexity may prevent …

This paper studies semantic segmentation in outdoor scene based on multi-sensor fusion
data by unmanned ground vehicle (UGV). Laser, camera, and inertial navigation are fused …