Swarm robotic behaviors and current applications
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 …
structures and behaviors similar to the ones observed in natural systems, such as swarms of …
Blockchain technology for mobile multi-robot systems
Blockchain technology generates and maintains an immutable digital ledger that records
transactions between agents interacting in a peer-to-peer network. Initially developed for …
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
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 …
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 …
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 …
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 …
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
The human immune system is characterized by enormous cellular and anatomical
complexity. Lymph nodes are key centers of immune reactivity, organized into distinct …
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
Mobile robots in uncertain and unstructuredenvironments frequently encounter faults.
Therefore, an effective fault detection and recovery mechanism is required. One can …
Therefore, an effective fault detection and recovery mechanism is required. One can …
Data transfer via UAV swarm behaviours: Rule generation, evolution and learning
This paper presents an adaptive robotic swarm of Unmanned Aerial Vehicles (UAVs)
enabling communications between separated non-swarm devices. The swarm nodes utilise …
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
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 …
tools and techniques aimed at easing and enhancing the coordination of multiple robots …