A5024616914- Neural dynamics and brain function
- Advanced Memory and Neural Computing
- Neural Networks and Applications
- Robotic Locomotion and Control
- Neurobiology and Insect Physiology Research
- Neural Networks Stability and Synchronization
- Modular Robots and Swarm Intelligence
- Neuroscience and Neural Engineering
- Evolutionary Algorithms and Applications
- Neural Networks and Reservoir Computing
- Chaos control and synchronization
- Magnetic confinement fusion research
- stochastic dynamics and bifurcation
- Nonlinear Dynamics and Pattern Formation
- Biomimetic flight and propulsion mechanisms
- Robotic Path Planning Algorithms
- Fuzzy Logic and Control Systems
- Zebrafish Biomedical Research Applications
- Cellular Automata and Applications
- Image and Signal Denoising Methods
- Reinforcement Learning in Robotics
- Insect and Arachnid Ecology and Behavior
- Robotics and Sensor-Based Localization
- Gene Regulatory Network Analysis
- Plant and Biological Electrophysiology Studies
University of Catania
2015-2024
Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti
2020-2021
National Research Council
2021
Royal Military Academy
2020
Institute of Biostructure and Bioimaging
2015-2017
National Agency for New Technologies, Energy and Sustainable Economic Development
2005-2010
Eutecus (United States)
2006
Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Sud
2006
Osservatorio Astrofisico di Catania
1999
Abstract For the past several years, JET scientific programme (Pamela et al 2007 Fusion Eng. Des . 82 590) has been engaged in a multi-campaign effort, including experiments D, H and T, leading up to 2020 first with 50%/50% D–T mixtures since 1997 ever plasmas ITER mix of plasma-facing component materials. this purpose, concerted physics technology was launched view prepare campaign (DTE2). This paper addresses key elements developed by directly contributing preparation. intense preparation...
In this paper, dynamical systems made up of locally coupled nonlinear units are used to control the locomotion bio-inspired robots and, in particular, a simulation an insect-like hexapod robot. These controllers inspired by biological paradigm central pattern generators and responsible for generating gait. A general structure, which is able change gait according environmental conditions, introduced. This structure based on adaptive system, implemented motor maps, learn correct basis reward...
This paper presents an innovative wormlike robot controlled by cellular neural networks (CNNs) and made of ionic polymer-metal composite (IPMC) self-actuated skeleton. The IPMC actuators, from which it is of, are new materials that behave similarly to biological muscles. idea inspired the work possibility using IPMCs design autonomous moving structures. CNNs have already demonstrated their powerfulness as structures for bio-inspired locomotion generation control. control scheme proposed...
Despite substantial advances in many different fields of neurorobotics general, and biomimetic robots particular, a key challenge is the integration concepts: to collate combine research on disparate conceptually disjunct areas neurosciences engineering sciences. We claim that development suitable robotic platforms particular relevance make such concepts work practice. Here we provide an example for hexapod platform autonomous locomotion. In sequence six focus sections dealing with aspects...
Considering the importance of lithium-ion (Li-ion) batteries and attention that study their degradation deserves, this work provides a review most important battery state health (SOH) estimation methods. The different approaches proposed in literature were analyzed, highlighting theoretical aspects, strengths, weaknesses performance indices. In particular, three main categories identified: experimental methods include electrochemical impedance spectroscopy (EIS) incremental capacity analysis...
We introduce a new methodology and experimental implementations for real-time wave-based robot navigation in complex, dynamically changing environment. The main idea behind the approach is to consider arena as an excitable medium, which moving objects-obstacles target-are represented by sites of autowave generation: target generates attractive waves, while obstacles repulsive ones. detects traveling colliding wave fronts uses information about dynamics autowaves adapt its direction...
N-double scrolls are chaotic attractors generated by Chua's circuit when its non-linear resistor characteristic is appropriately modified. They have recently been introduced, simulated and studied analytically Suykens Vandewalle. In this paper a new approach to generate n-double scroll introduced. derived from connection of three simple generalized cellular neural network cells called state controlled CNN (SC-CNN). way it established that can be using an SC-CNN. The implementation the...
In this paper, we introduce a network of spiking neurons devoted to navigation control. Three different examples, dealing with stimuli increasing complexity, are investigated. the first one, obstacle avoidance in simulated robot is achieved through neurons. second example, layer designed aiming provide target approaching system, making it able move towards visual targets. Finally, for based on cues introduced. all cases, was assumed rely some priori known responses low-level sensors (i.e.,...
Disruptions remain one of the most hazardous events in operation a tokamak device, since they can cause damage to vacuum vessel and surrounding structures. Their potential danger increases with plasma volume energy content therefore will constitute an even more serious issue for next generation machines. For these reasons, recent years lot attention has been devoted devise predictors, capable foreseeing imminence disruption sufficiently advance, allow time undertaking remedial actions. In...
In the paper a new structure of Multi-Layer Perceptron, able to deal with quaternion-valued signals, is proposed. A learning algorithm for proposed Quaternion MLP (QMLP) also derived. Such neural network allows one interpolate functions quaternion variable smaller number connections respect corresponding real valued MLP.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
In nature, insects show impressive adaptation and learning capabilities. The proposed computational model takes inspiration from specific structures of the insect brain: after proposing key hypotheses on direct involvement mushroom bodies (MBs) their neural organization, we developed a new architecture for motor to be applied in insect-like walking robots. is nonlinear control system based spiking neurons. MBs are modeled as recurrent network with novel characteristics, able memorize time...
This paper proposes an analysis of the energy efficiency a small quadruped robotic structure, designed based on MIT Mini Cheetah, controlled using central pattern generator FitzHugh–Nagumo neuron. The robot’s performance evaluated structurally complex terrain in dynamic simulation environment is compared with other structures wheels and hybrid architectures. cost involved carrying out assigned task involving need to traverse uneven calculated as relevant index be taken into account. In...