Animal–robot studies can inform us about animal behaviour and inspire advances in
agriculture, environmental monitoring and animal health and welfare. Currently …

Simple Summary This paper applies machine learning techniques to propose an objective
video-based method for assessing the degree of canine ADHD-like behavior in veterinary …

Simple Summary ADHD-like (attention deficit hyperactivity disorder) behavior in dogs may
be expressed as impulsivity, inattentiveness, or aggression, compromising both dog and …

Traditional methods of data analysis in animal behavior research are usually based on
measuring behavior by manually coding a set of chosen behavioral parameters, which is …

Machine-learning-based behavioural tracking is a rapidly growing method in the
behavioural sciences providing data with high spatial and temporal resolution while …

Animal-Robot Interaction (ARI) is not a novel approach in the study of animal behavior and
cognition, but despite the methodological advances it provides, it is not as widespread as …

Dogs are often considered as humans' oldest friends. The relationship between people and
dogs (wherein they are regarded as family members in the home) is well-studied. Since …

In this paper, we investigate how dogs react to delivery robots which they encounter on
pedestrian walkways and sidewalks in urban environment. Our study is based on an online …

Traditional methods of data analysis in animal behavior research are usually based on
measuring behavior by manually coding a set of chosen behavioral parameters, which is …

There is a growing interest in animal-related disciplines and in ACI in applying AI-based
approaches for studying animal behavior. Most efforts have so far been focused on …