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 …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

In this paper, we present a robotic shopping assistant, designed with a cognitive
architecture, grounded in machine learning systems, in order to study how the human-robot …

The ability to follow a human is an important requirement for a service robot designed to
work along side humans in homes or in work places. This paper describes the development …

Providing high on-shelf availability (OSA) is a key factor to increase profits in grocery stores.
Recently, there has been growing interest in computer vision approaches to monitor OSA …

Provided are robots for managing inventory of arbitrary size, shape, weighted, or other
distinct featured items. The robots dynamically and adaptively manage inventory for items …

In this paper, a target person tracking method based on the ultra-wideband (UWB)
technology is proposed for the implementation of the human-tracking robots. For such …

Counting stock is one of the warehouse's methods for preventing insatiable stock. Moreover,
it could help the company forecast how many products they need to store and predict the …

Legged robots have potential advantages in mobility compared with wheeled robots. Hence,
legged robots are widely utilized in outdoor unstructured environments. Human-following …

This paper proposes a method to robustly monitor shelves in retail stores using supervised
learning for improving on-shelf availability. To ensure high on-shelf availability, which is a …