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Balancing collective exploration and exploitation in multi-agent and multi-robot systems: A review
Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …
GVGExp: Communication-constrained multi-robot exploration system based on generalized voronoi graphs
This paper presents GVGExp, a recurrent-connectivity exploration strategy for multi-robot
systems to discover unknown environments under communication-constrained conditions. A …
systems to discover unknown environments under communication-constrained conditions. A …
Development of multi-robot systems using particle swarm optimization algorithm for task allocation
Task allocation is a problem of finding targets and distributing agents to these targets to
achieve certain goals. One algorithm to solve this problem is Particle Swarm Optimization …
achieve certain goals. One algorithm to solve this problem is Particle Swarm Optimization …
Cooperative indoor exploration on affordable robots
MV Díaz, S Robaudo, M Marzoa… - 2022 Latin American …, 2022 - ieeexplore.ieee.org
This paper addresses the problem of exploration and map** an unknown environment
using a fleet of cooperative robots. The exploration algorithm is distributed to each fleet …
using a fleet of cooperative robots. The exploration algorithm is distributed to each fleet …
[КНИГА][B] Probabilistic Constrained Decision Making for Robots Exploring, Map**, and Navigating Indoor Environments
JLS Rincon - 2020 - search.proquest.com
Robots are becoming more of a part of our daily lives. They have become an extension of
some our human capabilities and there is a need to develop control algorithms that …
some our human capabilities and there is a need to develop control algorithms that …