Many systems or applications have been developed for distributed environments with the
goal of attaining multiple objectives in the face of environmental challenges such as high …

In this paper, we present provably-good distributed task assignment algorithms for a
heterogeneous multi-robot system, in which the tasks form disjoint groups and there are …

One of the major challenges in the coordination of large, open, collaborative, and
commercial vehicle fleets is dynamic task allocation. Self‐concerned individually rational …

This paper presents an extension to a decentralized multi-UAV task allocation algorithm,
consensus-based bundle algorithm (CBBA), to improve the communication efficiency in the …

New market-based decentralized algorithms are proposed for the task assignment of
multiple unmanned aerial vehicles in dynamic environments with a limited communication …

This paper describes a framework for controlling a heterogeneous wireless robotic network
consisting of aerial and ground vehicles. By use of the term heterogeneous, we imply the …

In this paper, we present an approach to bounded optimal planning and flexible execution
for a robot team performing a set of spatially distributed tasks related by temporal ordering …

This paper develops a distributed method, namely, distributed allocation with time windows
(DATW) for managing the multi-UAV task assignment problem (MTAP) with complex time …

An optimal task allocation algorithm based on Particle swarm optimization (PSO) is
proposed for cooperative timing missions that require involvement of multiple agents. The …

We have developed and demonstrated an intelligent auto-organizing aerial robotic sensor
network system composed of cameras installed on UAVs and ground fixtures for urban …