Swarm robotic behaviors and current applications

M Schranz, M Umlauft, M Sende… - Frontiers in Robotics and …, 2020 - frontiersin.org
In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

Blockchain technology for mobile multi-robot systems

M Dorigo, A Pacheco, A Reina, V Strobel - Nature Reviews Electrical …, 2024 - nature.com
Blockchain technology generates and maintains an immutable digital ledger that records
transactions between agents interacting in a peer-to-peer network. Initially developed for …

Prediction of protein secondary structure with clonal selection algorithm and multilayer perceptron

BÇ Yavuz, N Yurtay, O Ozkan - IEEE Access, 2018 - ieeexplore.ieee.org
The recent studies indicate that the protein secondary structure provides very important
advantages in determining the function of a protein, treating numerous diseases and drug …

Network intrusion detection through artificial immune system

M Tabatabaefar, M Miriestahbanati… - 2017 Annual IEEE …, 2017 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) are security technologies. In this regard, Artificial Immune
System (AIS) which provides distributed detection through its lymphocytes is an appealing …

Research on dynamic task allocation for multiple unmanned aerial vehicles

Y Miao, L Zhong, Y Yin, C Zou… - Transactions of the …, 2017 - journals.sagepub.com
To solve the distributed task allocation problems of search and rescue missions for multiple
unmanned aerial vehicles (UAVs), this paper establishes a dynamic task allocation model …

Fault self-healing: A biological immune heuristic reinforcement learning method with root cause reasoning in industrial manufacturing process

JY Tian, M Yin, J Jiang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Stable fault self-healing ensures the smooth operation of intelligent industrial manufacturing
processes. However, current research, while capable of inferring fault propagation paths or …

Data-driven modelling of the FRC network for studying the fluid flow in the conduit system

R Savinkov, A Kislitsyn, DJ Watson, R Van Loon… - … Applications of Artificial …, 2017 - Elsevier
The human immune system is characterized by enormous cellular and anatomical
complexity. Lymph nodes are key centers of immune reactivity, organized into distinct …

Towards the development of robot immune system: A combined approach involving innate immune cells and T-lymphocytes

M Akram, A Raza - Biosystems, 2018 - Elsevier
Mobile robots in uncertain and unstructuredenvironments frequently encounter faults.
Therefore, an effective fault detection and recovery mechanism is required. One can …

Data transfer via UAV swarm behaviours: Rule generation, evolution and learning

P Smith, R Hunjet, A Aleti… - … of Telecommunications and …, 2018 - search.informit.org
This paper presents an adaptive robotic swarm of Unmanned Aerial Vehicles (UAVs)
enabling communications between separated non-swarm devices. The swarm nodes utilise …

A bio-inspired approach for collaborative exploration with mobile battery recharging in swarm robotics

M Carrillo, I Gallardo, J Del Ser, E Osaba… - … Methods and Their …, 2018 - Springer
Swarm Robotics are widely conceived as the development of new computationally efficient
tools and techniques aimed at easing and enhancing the coordination of multiple robots …