Peter Korondi - Academia.edu (original) (raw)

Papers by Peter Korondi

Academic and Applied Research in Military and Public Management Science, 2016

This paper presents a parametrized stability control method for special slow motion field mobile ... more This paper presents a parametrized stability control method for special slow motion field mobile robots, based on use cases from border surveillance. The concept uses the centre of gravity (COG) as the virtual centre of motion (VCM). The simplified robot geometry is an input parameter of the model, so it can work with different types of mobile robots, like holonomic-wheeled, differential-wheeled, steered, tracked, wheeled-tracked, segmented, etc. structures. This method resulted in the implementation of a flexible and universal control algorithm for transformable and hybrid drive mobile robots, where every parameter can be changed and recalculated for different applications or even in discrete time steps during the motion at a 3D path. The velocity reference, the angular velocity reference and the optimization parameter (for example gravity compensation) of the robot can be prescribed. The model was implemented in MATLAB and can be compiled to C for measurements and validation with ...

2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021

2017 IEEE/SICE International Symposium on System Integration (SII), 2017

Expert Systems with Applications, 2021

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), Jun 1, 2017

Sensors, 2019

This paper deals with sensor fusion of magnetic, angular rate and gravity sensor (MARG). The main... more This paper deals with sensor fusion of magnetic, angular rate and gravity sensor (MARG). The main contribution of this paper is the sensor fusion performed by supervised learning, which means parallel processing of the different kinds of measured data and estimating the position in periodic and non-periodic cases. During the learning phase, the position estimated by sensor fusion is compared with position data of a motion capture system. The main challenge is avoiding the error caused by the implicit integral calculation of MARG. There are several filter based signal processing methods for disturbance and noise estimation, which are calculated for each sensor separately. These classical methods can be used for disturbance and noise reduction and extracting hidden information from it as well. This paper examines the different types of noises and proposes a machine learning-based method for calculation of position and orientation directly from nine separate sensors. This method includ...

Frontiers in Psychology, 2017

Journal of Advanced Computational Intelligence and Intelligent Informatics, 2006

The Tensor Product (TP) model transformation is a recently proposed technique for transforming gi... more The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter Varying (LPV) models into polytopic model form, namely, to parameter varying convex combination of Linear Time Invariant (LTI) models. The main advantage of the TP model transformation is that the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting polytopic models to yield controllers with tractable and guaranteed performance. The effectiveness of the LMI design depends on the type of the convex combination in the polytopic model. Therefore, the main objective of this paper is to study how the TP model transformation is capable of determining different types of convex hulls of the LTI models. The study is conducted trough the example of the prototypical aeroelastic wing section.

Journal of Power Electronics, 2010

Studies in Systems, Decision and Control, 2015

It is difficult for most of us to imagine, but many who are deaf rely on sign language as their p... more It is difficult for most of us to imagine, but many who are deaf rely on sign language as their primary means of communication. They, in essence, hear and talk through their hands. This paper proposes a system which is able to recognize the signs using a video camera system.The recognized signs are reconstructed by the 3D visualization system as

PloS one, 2014

In the last few years there was an increasing interest in building companion robots that interact... more In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human-animal interaction can provide a useful biological model for designing social robots. Dogs can provide a promising biological model since during the domestication process dogs were able to adapt to the human environment and to participate in complex social interactions. In this observational study we propose to design emotionally expressive behaviour of robots using the behaviour of dogs as inspiration and to test these dog-inspired robots with humans in inter-specific context. In two experiments (wizard-of-oz scenarios) we examined humans' ability to recognize two basic and a seco...