Robustness is key to engineering, automation, and science as a whole. However, the
property of robustness is often underpinned by costly requirements such as over …

Abstract Purpose of Review Task allocation using a team or coalition of robots is one of the
most important problems in robotics, computer science, operational research, and artificial …

Cooperative multi-robot tasks can benefit from heterogeneity in the robots' physical and
behavioral traits. In spite of this, traditional Multi-Agent Reinforcement Learning (MARL) …

Task allocation is a key aspect of Unmanned Aerial Vehicle (UAV) swarm collaborative
operations. With an continuous increase of UAVs' scale and the complexity and uncertainty …

Abstract Purpose of Review Deploying a team of robots that can carefully coordinate their
actions can make the entire system robust to individual failures. In this report, we review …

This letter proposes a novel consensus-based timetable algorithm (CBTA) to solve the
decentralized simultaneous multi-agent task allocation problem. Due to the limited capability …

Complex, multi-task missions require the coordination of heterogeneous robots at multiple
inter-connected levels, such as coalition formation, scheduling, and motion planning. This …

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 …

This article investigates optimal consensus problems of switching multiagent systems
(MASs). For such kind of MASs, local neighborhood tracking error (LNTE) system is time …

Collaboration among a group of robots with heterogeneous capabilities is an important
research problem that enables to combine different robot functionalities, and thus, conducts …