Journal of Robotics, Networking and Artificial Life

This paper proposes a method for detecting anomaly stop events from GPS logs of a vehicle recorded by smartphone. Despite of many researches of strong braking event detection are proposed, they cannot discriminate between a normal and an abnormal braking event. Our proposal includes an IMAC model for...

To improve the quality of life of elderly people living in a home or healthcare facility, especially in a rural area, we have been developing a method for analyzing the facial expressions of a person using a video phone system (Skype) to speak with another person. In the present study, we proposed a...

This paper investigates the tracking control of a two-wheeled mobile robot in both kinematic and dynamic models. Differential flatness and PD-spectral theory are used for controller design. Based on differential flatness, the original system is transformed via a state prolongation and a state transformation...

E. coli is “wise” enough to take suitable responding time, and suitable responding behaviors, when facing different kinds and intensities of stimulations. In a network of glycogen metabolism, a shorter time stimuli result in the post translation level reactions for quicker response, and a longer time...

Several sub-disciplines of engineering are driven by the researchers’ aim of providing positive change to the society through their engineering. These researchers are challenged by the traditional research method of experimental research with a waterfall model which demands clearly defined project definition...

We already proposed a decision making system for autonomous robots, which is based on a Markovian emotional model proposed by Banik. In our proposed system, decision making of the robot is designed automatically by two processes that are the construction of emotions and optimization of behavior selection...

MAG (an Italian acronym which stands for Musical Genetic Algorithms) is an electronic art piece in which a multifaceted software attempts to “translate” musical expression into a corresponding static or animated graphical expressions. The mechanism at the base of such “translation” consists in a quite...

In this paper, the problem of finite-time stabilization is developed for nonholonomic chained form systems with communication delay in the input. The finite-time control laws are presented by utilizing the switching control strategy and the theory of finite-time stability, which can make the states of...

In order to improve the applications for an industrial robot, it is necessary to increase its flexibility and accuracy. The machine vision technology is an effective solution. In order to reduce the influence of the size, deformation etc., the target extraction method with fusion of color space and moment...

Burst firing in subthalamic nucleus (STN) has been suggested to be highly associated with the motor symptoms in Parkinson’s disease, which result from a loss of dopamine. Although it is clinically very important to clarify the mechanism underlying the bursting dynamics, complex interactions between STN...

Previously, we have proposed a method applying Sequential Probability Ratio Test (SPRT) to the structural change detection problem of ongoing time series data. In this paper, we introduce a structural change model with Poisson process into a system that outputs a set of ongoing time series data, moment...

This paper proposes a new color image arrangement method using an elastic transform on some kinds of axes. In this paper, we present the principle of our method using HMGD (Histogram Matching based on Gaussian Distribution). And we describe that the automated method applies the HMGD to input color image...

We developed a playful biofeedback system using a wearable device and modular interactive tiles. In this approach we suppose that patients could regulate exercise intensity on their own through biofeedback. We propose biofeedback play system called “bioToys” based on exercise with the modular interactive...

Kuremoto et al. proposed a multi-layer chaotic neural network (MCNN) combined multiple Adachi et al.'s CNNs to realize mutual auto-association of plural time series patterns. However, the MCNN was limited in a two-layer model. In this paper, we extend the MCNN to be a general form (GMCNN) with more layers...

Blum and Hewitt first proposed two-dimensional automata as computational models of two-dimensional pattern processing?two-dimensional finite automata and marker automata, and investigated their pattern recognition abilities in 1967. Since then, many researchers in this field have investigated the properties...

Recently, due to the advance in dynamic image processing, computer animation, augmented reality (AR), and so forth, it has become increasingly apparent that the study of four-dimensional pattern processing (three-dimensional pattern processing with time axis) should be very important. Thus, the study...

Unmanned Underwater Vehicles (UUV) are devices that perform task with slight or no human interaction. These tasks are predefined set of commands called navigation methods, that are used to achieve desired mission goals. The navigation control system plays an important role in maneuvering of UUV and without...

Rolling bearing is a common mechanical part which is subject to be damaged. It is important to monitor the condition of bearing. An effective mean is to extract faulty features of bearing from the vibration signal. In this paper, a method is introduced to realize intelligent classification of bearing...