Several interesting problems in multi-robot systems can be cast in the framework of
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …

In public spaces shared with humans, ensuring multi-robot systems navigate without
collisions while respecting social norms is challenging, particularly with limited …

We study the problem of finding statistically distinct plans for stochastic task assignment
problems such as online multirobot pickup and delivery (MRPD) when facing multiple …

This letter introduces CrazyChoir, a modular Python framework based on the Robot
Operating System (ROS) 2. The toolbox provides a comprehensive set of functionalities to …

The number of multi-robot systems deployed in field applications has increased dramatically
over the years. Despite the recent advancement of navigation algorithms, autonomous …

This article proposes a distributed bundle algorithm for task allocation problems for
multirobot systems. Specifically, in the developed formulation of the vehicle routing problem …

In many real-world scenarios (eg, product manufacturing), multiple heterogeneous robots
cooperate to complete complex tasks with precedence constraints. In these heterogeneous …

In this study, we introduce a novel auction-based algorithm modeled as a decentralized
coalition formation game, designed for the complex requirements of large-scale multi-robot …

This article investigates the multi-vehicle task assignment and motion planning (MVTAMP)
problem. In a dense environment, a fleet of non-holonomic vehicles is appointed to visit a …

This paper presents a non-iterative approach for finding the assignment of heterogeneous
robots to efficiently execute online Pickup and Just-In-Time Delivery (PJITD) tasks with …