Behavior-based swarm model using fuzzy controller for route planning and E-waste collection

KM Batoo, S Pandiaraj, M Muthuramamoorthy… - … Science and Pollution …, 2022 - Springer
Nowadays, because of the increase in consumption of electronic equipment and its resource
utilization, household e-waste has been generated gradually. The increase in e-waste …

Reinforcement learning-based formation pinning and shape transformation for swarms

Z Dong, Q Wu, L Chen - Drones, 2023 - mdpi.com
Swarm models hold significant importance as they provide the collective behavior of self-
organized systems. Boids model is a fundamental framework for studying emergent …

A multi-agent reinforcement learning algorithm with the action preference selection strategy for massive target cooperative search mission planning

X Wang, X Fang - Expert Systems with Applications, 2023 - Elsevier
Target search is widely applied in military reconnaissance, geological exploration and
personnel search and rescue. Most target search algorithms perform well in single target …

A strategy based on wave swarm for the formation task inspired by the traveling salesman problem

RD Lamperti, LVR de Arruda - Engineering Applications of Artificial …, 2023 - Elsevier
Multi-robots can perform complex tasks such as exploration, foraging, and formation.
Efficient communication between robots can contribute to the accomplishment of collective …

Centralization vs. decentralization in multi-robot coverage: Ground robots under uav supervision

A Jamshidpey, M Wahby, MK Heinrich… - arxiv preprint arxiv …, 2024 - arxiv.org
In swarm robotics, decentralized control is often proposed as a more scalable and fault-
tolerant alternative to centralized control. However, centralized behaviors are often faster …

Swarm metaverse for multi-level autonomy using digital twins

H Nguyen, A Hussein, MA Garratt, HA Abbass - Sensors, 2023 - mdpi.com
Robot swarms are becoming popular in domains that require spatial coordination. Effective
human control over swarm members is pivotal for ensuring swarm behaviours align with the …

Multi-agent dynamic area coverage based on reinforcement learning with connected agents

F Aydemir, A Cetin - Computer Systems Science and Engineering, 2023 - avesis.gazi.edu.tr
Dynamic area coverage with small unmanned aerial vehicle (UAV) systems is one of the
major research topics due to limited payloads and the difficulty of decentralized decision …

Decentralised aerial swarm for adaptive and energy efficient transport of unknown loads

K Huang, J Chen, J Oyekan - Swarm and Evolutionary Computation, 2021 - Elsevier
Cooperative transport by a swarm of Quadcopters offers more flexibility and performance
when carrying loads that are complex in structural profile and mass. Ensuring that team …

A novel MPC formulation for dynamic target tracking with increased area coverage for search-and-rescue robots

M Baglioni, A Jamshidnejad - Journal of Intelligent & Robotic Systems, 2024 - Springer
Robots are increasingly deployed for search-and-rescue (SaR), in order to speed up
rescuing the victims in the aftermath of disasters. These robots require effective mission …

Target search algorithm for AUV based on real-time perception maps in unknown environment

J Li, X Zhai, J Xu, C Li - Machines, 2021 - mdpi.com
For the problem of AUV target searches in unknown underwater environments, a target
search algorithm for AUVs based on a real-time perception map is proposed. Real-time …