Emergent collective behaviors have long interested researchers. These behaviors often
result from complex interactions between many individuals following simple rules. However …

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

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 …

We present an online community change detection algorithm called spectral CUSUM to
detect the emergence of a community using a subspace projection procedure based on 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 …

As robots become more affordable, they will begin to exist in the world in greater quantities.
Some of these robots will likely be designed to act as components in specific teams. These …

We consider the sequential change-point detection problem of detecting changes that are
characterized by a subspace structure. Such changes are frequent in high-dimensional …

When members of a multi-robot team follow regular motion rules sensitive to robots and
other environmental factors within sensing range, the team itself may become an …

The relationships between empirical data of agents' movements and swarm behavior
signals make it possible to predict swarm behaviors based on empirical data. From the …

The agent-based model is a well-established approach to carry out the simulation of crowd
behavior under varying conditions and environments. However, this approach still lacks the …