Multi-objective multi-agent decision making: a utility-based analysis and survey
The majority of multi-agent system implementations aim to optimise agents' policies with
respect to a single objective, despite the fact that many real-world problem domains are …
respect to a single objective, despite the fact that many real-world problem domains are …
Particle swarm optimization for cooperative multi-robot task allocation: a multi-objective approach
This letter presents a new Multi-Objective Particle Swarm Optimization (MOPSO) approach
to a Cooperative MultiRobot Task Allocation (CMRTA) problem, where the robots have to …
to a Cooperative MultiRobot Task Allocation (CMRTA) problem, where the robots have to …
Efficient multi-robot search for a moving target
This paper examines the problem of locating a mobile, non-adversarial target in an indoor
environment using multiple robotic searchers. One way to formulate this problem is to …
environment using multiple robotic searchers. One way to formulate this problem is to …
Efficient frontier detection for robot exploration
M Keidar, GA Kaminka - The International Journal of …, 2014 - journals.sagepub.com
Frontier-based exploration is the most common approach to exploration, a fundamental
problem in robotics. In frontier-based exploration, robots explore by repeatedly detecting …
problem in robotics. In frontier-based exploration, robots explore by repeatedly detecting …
Petri net plans: A framework for collaboration and coordination in multi-robot systems
Programming the behavior of multi-robot systems is a challenging task which has a key role
in develo** effective systems in many application domains. In this paper, we present Petri …
in develo** effective systems in many application domains. In this paper, we present Petri …
Multi-objective MDPs with conditional lexicographic reward preferences
Sequential decision problems that involve multiple objectives are prevalent. Consider for
example a driver of a semi-autonomous car who may want to optimize competing objectives …
example a driver of a semi-autonomous car who may want to optimize competing objectives …
An information-based exploration strategy for environment map** with mobile robots
The availability of efficient map** systems to produce accurate representations of initially
unknown environments is recognized as one of the main requirements for autonomous …
unknown environments is recognized as one of the main requirements for autonomous …
Exploration strategies based on multi-criteria decision making for searching environments in rescue operations
Some applications require autonomous robots to search an initially unknown environment
for static targets, without any a priori information about environment structure and target …
for static targets, without any a priori information about environment structure and target …
Bounded control law for global connectivity maintenance in cooperative multirobot systems
In this paper, we address the connectivity maintenance problem for a multirobot system that
moves according to a given bounded collective control objective. We assume that the …
moves according to a given bounded collective control objective. We assume that the …
Post‐disaster assessment with unmanned aerial vehicles: A survey on practical implementations and research approaches
In this paper, we provide a review of the principal aspects related to search & rescue (SAR)
with unmanned aerial vehicles (UAVs), with particular interest in the phase of post‐disaster …
with unmanned aerial vehicles (UAVs), with particular interest in the phase of post‐disaster …