Add to ORKGA distributed control approach is proposed for self-organization of autonomous swarms. The swarm is modeled as a Markov random field (MRF) on a graph where the (mobile) nodes and their communication/sensing links constitute the vertices and the edges of the graph, respectively. The movement of nodes is governed by the Gibbs sampler. The Gibbs potentials, local in nature, are designed to reflect collective goals such as gathering, dispersion, and linear formation. The algorithm can be run completely in parallel, and hence it is robust and scalable. Simulation results are provided to illustrate the proposed method
In this dissertation, a blob method of measuring spatial coverage by a swarm of agents is presented,...
IEEE Controlling large swarms of robotic agents presents many challenges including, but not limited ...
Abstract—In early work of the authors, it was shown that Gibbs sampler based sequential annealing al...
Gibbs sampling was proposed for coordination of autonomous swarms, where convergence results were on...
This dissertation focuses on the collaborative control of homogeneous UAV swarms. A two-level scheme...
In this paper, we present a distributed control strategy, enabling agents to converge onto and trave...
<p>Swarm robotics and distributed control offer the promise of enhanced performance and robustness r...
We present a distributed control algorithm simultaneously solving both the stochastic target assignm...
The control of a large swarm of distributed agents is a well known challenge within the study of unm...
A swarm of autonomous drones with self-coordination and environment adaptation can offer a robust, s...
Flocking and swarming are inspired by nature. Swarming formation involves a large number of agents o...
Controlling large swarms of robotic agents presents many challenges, including, but not limited to, ...
In the last ten years, there has been significant interest in applying a swarming paradigm towards t...
With the increasing use of Unmanned Aerial Vehicles (UAV)s military operations, there is a growing n...
Thesis (Ph.D.)--University of Washington, 2017-08The control of systems with autonomous mobile agent...
In this dissertation, a blob method of measuring spatial coverage by a swarm of agents is presented,...
IEEE Controlling large swarms of robotic agents presents many challenges including, but not limited ...
Abstract—In early work of the authors, it was shown that Gibbs sampler based sequential annealing al...
Gibbs sampling was proposed for coordination of autonomous swarms, where convergence results were on...
This dissertation focuses on the collaborative control of homogeneous UAV swarms. A two-level scheme...
In this paper, we present a distributed control strategy, enabling agents to converge onto and trave...
<p>Swarm robotics and distributed control offer the promise of enhanced performance and robustness r...
We present a distributed control algorithm simultaneously solving both the stochastic target assignm...
The control of a large swarm of distributed agents is a well known challenge within the study of unm...
A swarm of autonomous drones with self-coordination and environment adaptation can offer a robust, s...
Flocking and swarming are inspired by nature. Swarming formation involves a large number of agents o...
Controlling large swarms of robotic agents presents many challenges, including, but not limited to, ...
In the last ten years, there has been significant interest in applying a swarming paradigm towards t...
With the increasing use of Unmanned Aerial Vehicles (UAV)s military operations, there is a growing n...
Thesis (Ph.D.)--University of Washington, 2017-08The control of systems with autonomous mobile agent...
In this dissertation, a blob method of measuring spatial coverage by a swarm of agents is presented,...
IEEE Controlling large swarms of robotic agents presents many challenges including, but not limited ...
Abstract—In early work of the authors, it was shown that Gibbs sampler based sequential annealing al...