In this paper,the problem of time varying telecommunication delays in passive teleoperation systems is *** design comprises delayed position,velocity and position-velocity signals with the local position and velocity ...
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In this paper,the problem of time varying telecommunication delays in passive teleoperation systems is *** design comprises delayed position,velocity and position-velocity signals with the local position and velocity signals of the master and slave *** adaptive control terms are employed locally to cope with uncertain parameters associated with the gravity loading vector of the master and slave ***-Krasovskii function is employed for three methods to establish asymptotic tracking property of the closed loop teleoperation *** stability analysis is derived for both symmetrical and unsymmetrical time varying delays in the forward and backward communication channel that connects the local and remote ***,evaluation results are presented to illustrate the efectiveness of the proposed design for real-time applications.
The present paper describes exploratory work in which a Sparse Distributed Memory (SDM) was applied as a text classifier. The SDM is a type of associative memory based on the properties of high-dimensional spaces, whe...
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ISBN:
(纸本)9789881925282
The present paper describes exploratory work in which a Sparse Distributed Memory (SDM) was applied as a text classifier. The SDM is a type of associative memory based on the properties of high-dimensional spaces, where data are stored based on pattern similarity. The results obtained with the SDM are surprisingly good, for they can be achieved with little or none pre-processing. They are far superior to the performance of a "dumb classifier," though still inferior to the results obtained with other modern methods.
We present a method to extract meaningful features from range images which introduces some novel ideas: Firstm our primitives are a richer set than the usual one, as we not only extract high frequences events, which c...
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We present a method to extract meaningful features from range images which introduces some novel ideas: Firstm our primitives are a richer set than the usual one, as we not only extract high frequences events, which correspond to jump boundaries and sharp creases, but also low frequency events such as smooth ridges and ravines. These last features are generally discarded as they tend to hide in noise; however, they provide a coarse descriotion of the shape, and we believe they may help in inferring volumetric description. The method works at multiple scales to improve reliability, and we have designed a control strategy to automatically select the most appropriate mask size. We present results on images of different levels of complexity from three different sensors.
The increasing demand for robotic applications in unstructured environments is motivating the need for dextrous end-effecters which can cope with the wide variety of tasks and objects encountered in these environments...
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The increasing demand for robotic applications in unstructured environments is motivating the need for dextrous end-effecters which can cope with the wide variety of tasks and objects encountered in these environments, A new anthropomorphic robot hand (Anthrobot) which was designed for these environments is described. In this paper, the problem of developing the kinematics and unit consistent hybrid position/force control of the Anthrobot fingers is considered as the first step toward its utilization for either teleoperation or autonomous operation, A dynamic model of the fingers is identified and used to develop the control laws, The experimental results of applying the control to the Anthrobot are discussed.
An active vision system has to enable the implementation of reactive visual processes and of elementary visual behaviors in real time. Therefore the control architecture is extremely important. In this paper we discus...
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An active vision system has to enable the implementation of reactive visual processes and of elementary visual behaviors in real time. Therefore the control architecture is extremely important. In this paper we discuss a number of issues related with the implementation of a real-time control architecture and describe the architecture we are using with our camera heads. Even though in most applications a fully calibrated system is not required, we also describe a methodology for calibrating the camera head, taking advantage of its degrees of freedom. These calibration parameters are used to evaluate the performance of the system. Another important issue of the operation of active vision binocular heads is their integration into more complex robotic systems. We claim that higher levels of autonomy and integration can be obtained by designing the system architecture based on the concept of purposive behavior. At the lower levels we consider vision as a sensor and integrate it in control systems (both feed-forward and servo loops) and several visual processes are implemented in parallel, computing relevant measures for the control process. At higher levels the architecture is modeled as a state transition system. Finally we show how this architecture can be used to implement a pursuit behavior using optical flow. Simultaneously vergence control can also be performed using the same visual processes.
ABSTRACTBrain-Computer Interfaces (BCIs) can provide a non-muscular communication channel for individuals with motor impairments. When integrated with virtual reality (VR) and haptic feedback, motor imagery (MI)-based...
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ABSTRACTBrain-Computer Interfaces (BCIs) can provide a non-muscular communication channel for individuals with motor impairments. When integrated with virtual reality (VR) and haptic feedback, motor imagery (MI)-based BCIs can augment the rehabilitation outcome for patients with severe motor impairments. However, the physiological impact of these protocols beyond brain-related signals, that reflect autonomic nervous system (ANS) activity, remains underexplored. This study aims to investigate variations in a broader range of physiological signals besides electroencephalography (EEG) – including electrocardiography (ECG), photoplethysmography (PPG), and respiration – across different experimental conditions and to identify the factors driving these changes. 19 healthy subjects underwent MI training across five combinations of feedback conditions: abstract vs. realistic feedback, head-mounted display (HMD) vs. monitor, and the presence or absence of haptic feedback, compared with motor execution data. PPG results were compared with ECG results to assess the reliability of the finger-clip PPG sensor regarding its ability to replace ECG in cases where ease of use and unobtrusiveness in heart monitoring are required. Current findings show that VR-based MI with haptic feedback, results in increased modulation of Beta and Gamma bands, while all conditions may impose a greater mental burden than motor execution, as indicated by the increased respiration rate and decreased heart-rate variability.
One of the most important environmental problems in large cities is the vehicular emission. Electric Vehicles (EVs) are a growing alternative for internal combustion engine (ICE) vehicles. Since this kind of vehicle h...
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This paper demonstrates dexterity optimization of a Deltalike three degrees of freedom (3 DOF) spatial parallel manipulator. The parallel manipulator consists of three identical chains and is able to move on all three...
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Worldwide electric motor market is moving towards Premium/IE3, Super-Premium/IE4 and Ultra-Premium/IE5 efficiency classes. Therefore, motor manufacturers are constantly improving the overall design of three-phase asyn...
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In this paper we present a multistage method applied in pedestrian detection using information from a LIDAR and a monocular-camera mounted on an electric vehicle driving in urban scenarios. The proposed method is a ca...
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