- Teaching and Learning Programming
- Robotics and Automated Systems
- Social Robot Interaction and HRI
- Stability and Control of Uncertain Systems
- Trauma Management and Diagnosis
- Stability and Controllability of Differential Equations
- Numerical methods for differential equations
- AI in Service Interactions
- Air Quality and Health Impacts
- Advanced Control Systems Optimization
- Anesthesia and Neurotoxicity Research
- Assistive Technology in Communication and Mobility
- Cybersecurity and Information Systems
- Restraint-Related Deaths
- Autism Spectrum Disorder Research
- Advanced Numerical Methods in Computational Mathematics
- Intestinal Malrotation and Obstruction Disorders
- Advanced Optimization Algorithms Research
- Pediatric Pain Management Techniques
- Advanced Mathematical Modeling in Engineering
- Advanced Scientific Research Methods
- Advanced Computational Techniques in Science and Engineering
- Educational Leadership and Innovation
- Cardiac, Anesthesia and Surgical Outcomes
- Metabolism and Genetic Disorders
Bulgarian Academy of Sciences
2004-2024
Context Contemporary technologies, such as mainstream and specialised Assistive Technologies (ATs), are seen effective. However, there is a noticeable gap between technological progress the ability to customise these technologies meet unique needs characteristics of neurodivergent individuals, particularly those on Autism Spectrum people with Intellectual Disability (pwID).
Humanoid robots have a substantial potential to serve as teaching and social assistants. However, the expectations of children from interact like humans are huge. This study presents general model for understanding natural language in human-robot interaction by applying Generative Pre-trained Transformer (GPT) models service Internet Things. Thus, physical presence robot can help fine-tuning GPT prompts derived environmental context subsequent actions embodiment outputs. The uses web or...
Positive systems are defined as with trajectories entirely in the non-negative orthant whenever initial state is non-negative. The cohort-type model represents class of positive linear considered here. method and procedure for pole-assignment corresponding closed-loop system proposed. based on inverse eigenspectrum conditions developed under consideration monomial similarity matrices. relation between controllability also studied. Numerical examples illustrating provided.
The stabilization problem of positive linear discrete-time systems (PLDS) by state feedback is considered. A method based on a Brauer’s theorem proposed for solving the problem. It allows us to modify some eigenvalues system without changing rest them. studied single-input single-output (SISO) and multi-input multioutput (MIMO) cases sufficient conditions stability positivity closed-loop are proved. results illustrated numerical examples used in stochastic systems.
In this study we propose a designed, developed and validated by experiments Speech Language Therapy (SLT) system to provide SLT intervention for children with communication disorders. order help the services in different educational social context, has potential work Internet of Things (IoT). It can wire assistive devices, APIs, online agents meet child individual needs intervention. Humanoid NAO-type robot, Emotiv EPOC+ brain headset, emotionally-expressive robot EmoSan Kinect depth sensor...
The paper presents a linear control system framework for design of technology-based games pedagogical rehabilitation children with special learning needs as central component the proposed cyber-physical inclusive education. novelty is in explicitly addressing issue quantitatively estimating improvement desired direction during process. An advantage approach its applicability to small groups playing diverse sets without loss generalisability system's model assumptions. Statistically justified...
The present paper develops an optimal linear quadratic boundary controller for 2×2 hyperbolic partial differential equations (PDEs) with actuation on only one end of the domain. First-order necessary conditions optimality is derived via weak variations and in state-feedback form presented. regulator (LQR) calculated from algebraic Riccati equations. Numerical examples are performed to show use proposed method.
This paper presents preliminary results of the questionnaire (QR) that was conducted during April and May 2018 in three countries: Bulgaria, Greece Croatia. The QR is part activities within project funded by Danube Strategic Project Fund (DSPF): Increasing well being population RObotic ICT based iNNovative education (RONNI). has been delivered to schools each participating countries. Two sets questions were target groups: teachers/experts parents. analysis will be used proposing innovative...
In the paper infinite-horizon Linear Quadratic Regulator (LQR) problem of linear discrete time systems with non-negative state constraints is presented. Such kind on system determine class positive systems. They have big application in many fields like economics, biology, ecology, ICT and others. The standard infinite LQR-optimal feedback law used for solving problem. order to guarantee nonnegativity states, we define admissible set initial states. It proven that, each from this nonnegative...
A PhD class of lectures will be jointly developed on the topic Linear Quadratic Differential Games and Applications. The is intended to support learning process students as well increase their competencies through acquaintance with latest advances in field. total study load planned amount 30 lecture hours.