Behavior-based swarm model using fuzzy controller for route planning and E-waste collection
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 …
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 …
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 …
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 …
Efficient communication between robots can contribute to the accomplishment of collective …
Centralization vs. decentralization in multi-robot coverage: Ground robots under uav supervision
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 …
tolerant alternative to centralized control. However, centralized behaviors are often faster …
Swarm metaverse for multi-level autonomy using digital twins
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 …
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
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 …
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
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 …
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 …
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 …
search algorithm for AUVs based on a real-time perception map is proposed. Real-time …