Despite intensive R&D on agricultural robotics in the past decade, implementation of
agricultural robotics remains limited due to the complex unstructured agricultural …

Analyzing scenes thoroughly is crucial for mobile robots acting in different environments.
Semantic segmentation can enhance various subsequent tasks, such as (semantically …

Autonomous robots should operate in real-world dynamic environments and collaborate
with humans in tight spaces. A key component for allowing robots to leave structured lab and …

Purpose The purpose of this paper is to empirically investigate the role of the placement (ie
location) of humanoid service robots (HSRs) for entertainment applications in retailing by …

Significant advances have been made in the development of deep convolutional networks
for RGBD semantic segmentation. However, the full extraction and utilization of depth …

Social robots, driven by cutting-edge technologies are designed to cater to various societal
needs, facilitating complex human interactions involving multiple users and stakeholders …

The critical situation of COVID-19 widespread in Perú from the beginning of year 2020, has
been maximized by the avoidance of social distancing reflected in crowded public places …

In this work, we consider the problem of sensing environmental influence on the recognition
of human intention in human robot interaction (HRI). We propose a novel framework to …

The present study explores people's attitudes towards an assortment of occupations on high
and low-likelihood of automation probability. An omnibus survey (N= 1150) was conducted …

In recent years, the automation of stocking and disposal operations in convenience stores
has attracted great attention. However, these operations have not yet been completely …