Purpose This paper aims to present a concise review on the variant state-of-the-art dynamic
task allocation strategies. It presents a thorough discussion about the existing dynamic task …

In this paper, we propose an iterative strategy to enhance the performance of task
assignment and path planning in applications of distributed multiple unmanned aerial …

This work focuses on solving general multi-robot planning problems in continuous spaces
with partial observability given a high-level domain description. Decentralized Partially …

This paper investigates the task assignment problem for a team of autonomous
aerial/marine vehicles driven by constant thrust and maneuvering in a planar lateral drift …

This paper proposes a resource-oriented, decentralized auction algorithm (RODAA) for
multirobot task allocation considering multiple resources of the robots and limited robot …

Efficient utilization of cooperating robots in the assembly of aircraft structures relies on
balancing the workload of the robots and ensuring collision-free scheduling. We cast this …

Multiple solutions are often needed because of different kinds of uncertain failures in a plan
execution process and scenarios for which precise mathematical models and constraints are …

Task allocation for a multi-robot system is often imposed with various constraints to promote
efficiency and avoid unwanted consequences. This study focuses on the min-max balanced …

Robotics has dramatically increased our ability to gather data about our environments. This
is an opportune time for the robotics and algorithms community to come together to …

This study investigates the task assignment problem where a fleet of dispersed vehicles
needs to visit multiple target locations in a time‐invariant drift field with obstacles while trying …