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In this paper, we propose an optimal viewpoint selection system for monitoring robots to search for the optimal viewpoint of a scene with the highest aesthetic property. Using the information of the targets, we propose a novel method for predicting human aesthetic sense for a scene. We construct evaluation functions based on certain known composition rules using three factors, namely, target size,...
This paper describes about common region of interest (CROI) generation between two mobile robots with the help of cognitive ontology for solving a cooperative task. In this research, both robots are observing different region of the scene and have different capabilities. In this method, robots use cognitive ontology and evaluate various semantic relations of concepts in a ROI. After evaluation, robots...
Region of Interest (ROI) selection remains very crucial problem for its notion of subjectivity. Many methods are available for its selection. However, there is no generalized method of selection and evaluation. Evaluation is particularly useful when different ROIs need to be shared between agents such as robots for co-operative task performance. This type of sharing is called cognitive sharing. This...
This paper explains the methodology for an object classification system using audio features for the purpose of integrating the audio classifier into a real time visual object tracking system in order to more accurately track and describe objects of interest. Four objects are classified by the sounds they produce using Mel-Frequency Cepstral Coefficients (MFCC). These features are classified using...
One of the important critical traffic controller challenges is the management of multi-intersection networks and real-time control system. In this paper, we develop a coordinated traffic signal control system based on a distributed self-organizing control. We propose a new modeling methodology which deals with left-right turns based on traffic signal phasing, multiway intersection and fuzzy logic...
In previous studies, we demonstrated that acute stress induces microglial activation, without inducing any inflammatory responses; however, the effect of acute stress on astroglia, another glial cell subtype in the brain, remains to be elucidated. We determined the effect of acute stress on astroglia, particularly in terms of morphological changes and inflammatory properties. In contrast to microglia,...
This paper deals with an adaptive multi-robot task planning. When a desired goal state of the task environment is given, backward task planning from the goal state and forward search form the initial condition such as currently available robot and functions and displacement of objects etc., are interactively executed to find a feasible state transition. Nontrivial multi-robot cooperation formation...
This paper proposes an adaptation control method of the PDAC constants that facilitates stabilization. Previously, we proposed a three-dimensional biped walking control based on Passive Dynamic Autonomous Control (PDAC). The robot dynamics is modeled as a two-dimensional autonomous system of a three-dimensional inverted pendulum by applying the PDAC concept. In addition, the convergent controller...
Context based recognition system, which can improve the accuracy of scene recognition if robots cannot obtain adequate recognition features in the camera, has attracted researchers recently. However, there are few researches which focus on part-whole supplement system based on context which can describe the scene using detail parts in the scene and also reduce the ambiguity of each detail part using...
This paper introduces the concept of semantic evaluation of Region of Interest (ROI) for intelligent robots. The intelligent robot must have the capability of understanding situations. The first step of understanding of the situation is to find where to focus on and how to behave. Focusing on some particular area or region needs selection of the objects of interaction relevant to the context. Moreover,...
This paper describes a 3-D biped walking over rough terrain. The robot is modeled as the special 3-D inverted pendulum that can change the length. The dynamics of the 3-D inverted pendulum is modeled as 2-D autonomous system by applying the Passive Dynamic Autonomous Control (PDAC) that is based on the assumption of point-contact of the robot foot and the virtual holonomic constraint as to robot joints...
There has been an increasing interest in a kind of underactuated mechanical systems, mobile wheeled inverted pendulum (MWIP) models, which are widely used in the field of autonomous robotics and intelligent vehicles. A novel structure including an MWIP system and a movable seat called UW-Car is proposed in the study. The dynamic model of UW-Car system running in the flat ground is obtained by applying...
The purpose of this paper is to create risk management system that multi-agent patrols for maintaining security. We consider that maintaining security is equal to relieving uncertainty. Therefore, we formulate uncertainty of places needed to maintain security by the entropy in an information theory. We call these places ??check point i(i=1,2,??,n)??. Agents patrol and observe check point's condition...
This paper introduces a new decision making criteria by which the region of interest (ROI) is selected and evaluated. This criterion is based on human psychology of relevance in visual perception. The experimental results are validated by comparing with eye tracker system and human evaluation measured by subjective correlation value for each ROI.
Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to detect multiple object and human. There are many visual sensors and we use the...
In this paper, we present the evaluation of human's emotion by using brain waves. As an honest characteristic of fluctuating of human's emotion, EEG electroencephalography (EEG) has been studied by many researchers these years. P300 as an important endogenous component of event-related potential (ERP), affects people's concentration of attention. In general EEG researches, comfortableness was always...
An electronic nose system had been developed by using 16 quartz resonator sensitive membranes-basic resonance frequencies 20 MHz as a sensor, and analyzed the measurement data through various neural network as a pattern recognition system. The developed system showed high recognition probability to discriminate various single odors even mixture odor to its high generality properties; however the system...
Traffic jam often occurs around the signalized intersection because each takes ??stop-and-go cost?? to pass through the intersection. Stop-and-go cost traffic increases air pollution and gas consumption, produces greater wear and tear on vehicles, and costs people and businesses money in the delay it imposes. Hence, traffic signal control has significant meanings in reducing the traffic jams efficiently...
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