Abstract Purpose of Review Recent advances in sensing, actuation, and computation have
opened the door to multi-robot systems consisting of hundreds/thousands of robots, with …

Trading off performance guarantees in favor of scalability, the Multi-Agent Path Finding
(MAPF) community has recently started to embrace Multi-Agent Reinforcement Learning …

The field of robotics was previously centered on applications involving individual robots.
Due to the expansion of high-tech industries and the ease of access to advanced …

Challenges in real-world robotic applications often stem from managing multiple,
dynamically varying entities such as neighboring robots, manipulable objects, and …

In swarm-robotics foraging, the purpose of task allocation is to adjust the number of active
foraging robots dynamically based on the task demands and changing environment. It is a …

Self-organisation in multi-agent systems (MAS) requires agents to coordinate their actions
according to the specific goal to be pursued by the system as a whole. When agents can …

Understanding macro-tasking in crowdsourcing is a focus of this chapter, and its focus on
coordination challenges is intended to further our knowledge of the topic. The chapter …

Multi-agent robotics planning problems for tasks such as environmental monitoring, search
and rescue, and surveillance are generally NP hard. In this paper we focus on the multi …