Multi-robot Task Allocation (MRTA) is the problem of assigning tasks to robots subject to a
performance objective. Among existing approaches to MRTA, auction-based methods are …

We propose a new formulation for the multi-robot task planning and allocation problem that
incorporates (a) precedence relationships between tasks;(b) coordination for tasks allowing …

Recently, considerable attention has focused on enhancing the security and safety of
industries with high-risk level activities in order to protect the equipment and environment. In …

In order to solve the problems of improper order allocation and the lack of a carbon emission
constraint system in the road freight transportation industry, this paper proposed an order …

We propose an auction-based method for a team of robots to allocate and execute tasks that
have temporal and precedence constraints. The robots use our priority-based iterated …

To improve the practical performance of task planning for unmanned ground vehicles,
geographical features, limited onboard energy, and ordering constraints are urgent to be …

We study distributed planning for multi-robot systems to provide optimal service to
cooperative tasks that are distributed over space and time. Each task requires service by …

Multi-robot systems (MRS) are a reference solution for many prominent real-world
applications, eg management of warehouses or exploration of unknown environments. One …

Robotic Mobile Fulfillment Systems (RMFS) are crucial for increasing the efficiency of the
logistics sector. One of the essential processes in such systems is efficiently allocating tasks …

We study the Transport and Pick Robots Task Scheduling (TPS) problem, in which two
teams of specialized robots, transport robots and pick robots, collaborate to execute multi …