Many real-world applications have been suggested in the swarm robotics literature.
However, there is a general lack of understanding of what needs to be done for robot …

One of the main challenges in human–swarm interactions is the construction of suitable
abstractions that make an entire robot team amenable to human control. For such …

Biohybrid robotics takes an engineering approach to the expansion and exploitation of
biological behaviours for application to automated tasks. Here, we identify the construction …

We introduce Convolutional Neural Support Vector Machines (CNSVMs), a combination of
two heterogeneous supervised classification techniques, Convolutional Neural Networks …

We pose the “trained-at-runtime heterogeneous swarm response problem,” in which a
swarm of robots must do the following three things:(1) Learn to differentiate between multiple …

Human-swarm interaction (HSI) is a develo** field of research in which the problem of
gesture-based control has been attracting an increasing attention, being at the same time a …

Interactive machine learning (IML) aims to make machine learning an easy-to-use tool for
novice users to solve personalized tasks. However, despite the recent popularity of edge AI …

Swarms of robots will revolutionize many industrial applications, from targeted material
delivery to precision farming. Controlling the motion and behavior of these swarms presents …

In this paper, we seek to establish formal guarantees for whether or not a given human-
swarm interaction (HSI) is appropriate for achieving multi-robot tasks. Examples of such …

In the context of vision-based hand gesture recognition, we study how a robot swarm can
incrementally and cooperatively learn to classify an unseen gesture vocabulary using a …