Recently, multiple unmanned vehicles have attracted a great deal of attention as viable solutions to a wide variety of civilian and military applications. Among many topics in the …
N Nedjah, LS Junior - Swarm and Evolutionary Computation, 2019 - Elsevier
Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits concepts of communication, coordination and collaboration among a large number of robots …
F Gul, A Mir, I Mir, S Mir, TU Islaam, L Abualigah… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces recently developed Aquila Optimization Algorithm specifically configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
We present a method for autonomous exploration in complex three-dimensional (3D) environments. Our method demonstrates exploration faster than the current state-of-the-art …
S Kemna, JG Rogers, C Nieto-Granda… - … on Robotics and …, 2017 - ieeexplore.ieee.org
Autonomous underwater vehicles (AUVs) are cost-and time-efficient systems for environmental sampling. Informative adaptive sampling has been shown to be an effective …
This paper proposes iTD3-CLN, a Deep Reinforcement Learning (DRL) based low-level motion controller, to achieve map-less autonomous navigation in dynamic scene. We …
We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position …
This paper aims to present a cooperative and distributed navigation strategy, that is an on- line path planner, for an autonomous multi-robot system. The robots are intended to …
This paper describes a novel framework for autonomous exploration in large and complex environments. We show that the framework is efficient as a result of its hierarchical structure …