In urban search and rescue domains, robots explore the affected terrain to search and assist
disaster victims. RoboCup Rescue simulation provides a platform for disaster management …

Multi-team formation has received considerable attention in the last decade. Most existing
approaches for team formation assume complete knowledge of the environment, and the …

Collaborative task execution is an important area of research in multi-agent systems. In
some situations, the agents are spatially distributed, have limited information about the …

Robust team formation (RTF) is an important problem in multi-agent systems. Existing
research addresses offline robust team formation. Our work addresses the online version of …

This paper proposes a control method for in agents by switching their behavioral strategy
between rationality and reciprocity depending on their internal states to achieve efficient …

This thesis addresses the challenge of forming expert teams capable of collectively covering
a defined set of skills. Existing solutions often use graph-based algorithms to locate …

The main focus of the paper is the stability analysis of a class of multiagent systems based
on an interaction protocol which can generate different types of overall behaviours, from …

In most previous models of coalition structure generation, it is assumed that agents may
partition themselves into any coalition structure. In practice, however, there may be physical …

This paper addresses the team formation problem for task-oriented projects, where experts
are selected based on performance. The tasks are assigned priorities based on the experts' …

Task execution in a dynamic environment is a challenging and important problem in multi-
robot systems. In such an environment, the arrival time, location of a task, states and …