One of the subfields of artificial intelligence (AI) technology is machine learning. The basic
goal is to develop robots that can learn in the same way that humans can.“Learning” here …

As robots become ubiquitous in our everyday environment, we start seeing them used in
groups, rather than individually, to complete tasks. We present a study aimed to understand …

Human swarm interaction (HSI) involves operators gathering information about a swarm's
state as it evolves, and using it to make informed decisions on how to influence the collective …

This paper presents a model of swarm behavior that encodes the spatial-temporal
characteristics of topological features, such as holes and connected components …

Bio-inspired robot swarms encompass a rich space of dynamics and collective behaviors.
Given some agent measurements of a swarm at a particular time instance, an important …

Crowd movement analysis (CMA) is a key technology in the field of public safety. This
technology provides reference for identifying potential hazards in public places by analyzing …

Effective motion planning and localization are necessary tasks for swarm robotic systems to
maintain a desired formation while maneuvering. Herein, we present an inchworm-inspired …

Communication is crucial for human-robot collaborative tasks. In this context, legibility
studies movement as the means of implicit communication between robotic systems and a …

We propose a method for modeling the topology of swarm behavior in a manner which
facilitates the application of machine learning techniques such as clustering. This is …

Members of a swarm robotic system may be burdened with sensing limitations due to their
operating environment and/or due to miniaturization of their onboard hardware. In the face of …