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 …
A systematic review on particle swarm optimization towards target search in the swarm robotics domain
MGM Hamami, ZH Ismail - Archives of Computational Methods in …, 2022 - Springer
Swarm Intelligence (SI) is one of the research fields that has continuously attracted
researcher attention in these last two decades. The flexibility and a well-known …
researcher attention in these last two decades. The flexibility and a well-known …
Self-organizing cooperative pursuit strategy for multi-USV with dynamic obstacle ships
Z Sun, H Sun, P Li, J Zou - Journal of Marine Science and Engineering, 2022 - mdpi.com
A self-organizing cooperation strategy for multiple unmanned surface vessels (USVs) to
pursue intelligent evaders in the case of a dynamic obstacle vessel is proposed. Firstly, a …
pursue intelligent evaders in the case of a dynamic obstacle vessel is proposed. Firstly, a …
The two-wheeled robotic swarm concept for mars exploration
Abstract Recent Mars Exploration Rovers (MERs) launched in 2021 show the growing
interest in the robot's mobility improvement and application of cooperative robotics …
interest in the robot's mobility improvement and application of cooperative robotics …
Effect of swarm density on collective tracking performance
HL Kwa, J Philippot, R Bouffanais - Swarm Intelligence, 2023 - Springer
How does the size of a swarm affect its collective action? Despite being arguably a key
parameter, no systematic and satisfactory guiding principles exist to select the number of …
parameter, no systematic and satisfactory guiding principles exist to select the number of …
Transition from simple to complex contagion in collective decision-making
How does the spread of behavior affect consensus-based collective decision-making among
animals, humans or swarming robots? In prior research, such propagation of behavior on …
animals, humans or swarming robots? In prior research, such propagation of behavior on …
Adaptivity: a path towards general swarm intelligence?
The field of multi-robot systems (MRS) has recently been gaining increasing popularity
among various research groups, practitioners, and a wide range of industries. Compared to …
among various research groups, practitioners, and a wide range of industries. Compared to …
Adversarial search and tracking with multiagent reinforcement learning in sparsely observable environment
We study a search and tracking (S&T) problem where a team of dynamic search agents must
collaborate to track an adversarial, evasive agent. The heterogeneous search team may …
collaborate to track an adversarial, evasive agent. The heterogeneous search team may …
A novel approach for swarm robotic target searches based on the DPSO algorithm
Y Du - IEEE Access, 2020 - ieeexplore.ieee.org
Cooperation between individuals plays a very important role when swarm robots search for
targets. In this article, we present a novel approach that is based on the distributed particle …
targets. In this article, we present a novel approach that is based on the distributed particle …
Swarm robots cooperative and persistent distribution modeling and optimization based on the smart community logistics service framework
M Zhang, B Yang - Algorithms, 2022 - mdpi.com
The high efficiency, flexibility, and low cost of robots provide huge opportunities for the
application and development of intelligent logistics. Especially during the COVID-19 …
application and development of intelligent logistics. Especially during the COVID-19 …