Robotics is an emerging synthetic science concerned with programming work. Robot
technologies are quickly advancing beyond the insights of the existing science. More secure …

We introduce and analyze a continuous time and state-space model of opinion cascades on
networks of large numbers of agents that form opinions about two or more options. By …

We develop a dynamical systems approach to prioritizing and selecting multiple recurring
tasks with the aim of conferring a degree of deliberative goal selection to a mobile robot …

Many self-organized collective behaviors in natural, social, and technological groups require
coordinated decision-making on multiple alternatives. For example, groups must reach …

Recent papers have introduced the Motivation Dynamics framework, which uses bifurcations
to encode decision-making behavior in an autonomous mobile agent. In this paper, we …

This dissertation expands the class of planar mutli-behavioral dynamical systems that
generate different behaviors via the same model without involving switching between …

Reconfigurable systems (RS) were introduced by Ghrist and Peterson as an example of a
broad class of formal discrete models of high-dimensional robotic systems capable of …

Decision making is a fundamental capability of autonomous systems. As decision making is
a process which happens over time, it can be well modeled by dynamical systems. Often …

Au sein d'un marché fortement concurrentiel, l'innovation est plus que jamais au centre de la
stratégie de l'énergéticien français EDF. Le groupe industriel voit en particulier dans …

We consider the problem of imbuing a control system with high-level behaviors by
decomposing those behaviors into low-level tasks. We use the recently developed …