In the current monitoring system, for the monitoring sites (such as storage, home, radioactive places and other harmful places), no dead ends and comprehensive monitoring is completed by installing a large number of fixed cameras and hiring many security persons to achieve, a lot of cameras installed are complicated; expensive and wasting a lot of manpower and material resources. Meanwhile, the fixed camera monitoring is just rigid; no early warning functions and requiring the security persons to be on duty all the time. At the same time, the records of on-site monitoring need to be large capacity storage medium. Therefore, to solve the problems of above in practical, we design an intelligent network monitoring system which is a set of non-dead mobile monitoring; automatic warning; automatic voice alerting; automatic storage of suspicious scene. By fixing the cameras; wireless routers; GPRS module; voice module and power management modules, with the Altera DE2 board to build a wheeled robot. The wheeled robot realizes the real-time monitoring of unmanned sites and solves the issues of complex installing and adverse monitoring to a large extent.

关键词：机器人 FPGA DE2 监控

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This paper describes the optimization of an Integrator control block within the proposed navigation control system for a mobile robot. The control blocks that the integrator will combine are two Fuzzy Inference Systems (FIS) in charge of tracking and reaction respectively. The integrator block is call Weighted Fussy Inference System (WFIS), and assigns weights to the responses on each behavior block, to combine them into a single response

关键词：机器人；优化；导航；积分器

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关键词：平板电视；负增长 ；产业变革

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In the picking robot binocular vision systems research, the camera calibration is often an indispensable step and these basements to locate the target of the object and rebuild the three-dimensional construction based on the robot stereo vision for the follow-up study. So, searching for a high accuracy and simple camera calibration algorithm is of great significance and necessary. However, For most of these camera calibration algorithms, it is necessary to establish a reference object, namely the target, in front of the camera at present, but posing the target is very not convenient or almost impossible in some cases. Therefore, a picking robot online calibration algorithm based on the vision scene was proposed by studying the work environment characteristics of the picking robot binocular vision system and the invariant projective geometry. The experimental results showed that this algorithm's calibration accuracy and precision good meets to the requirement of the robot binocular vision system camera calibration in the complex environment.

关键词：机器人；摄像机标定；立体视觉；图像分割；hough变换

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This paper presents a two-dimensional movement and the one-dimensional rotating 3 DOF robot that can be used to pick up, delivery and place riveting column, thin axis (referred to as riveting column) and other parts, forming the assembly systems of riveting of sheet metal. In addition to the robot, the system also has moving table, clamp, a number of riveting column station and spin riveter etc. Moving table is equipped with the clamp, it can move in the X and Y directions, respectively. The clamp that fixed the sheet metal work-piece can move in Z-direction, which make it easy for assembling the riveting axis into the riveting holes on the work-piece. Robot can move along the Y axis and swing around the Z axis, make the nozzle that is in the end of manipulator move between riveting column stations and spin riveter, which pick up and place the riveting column. A number of riveting column station is used for store riveting column and sorting them. Spin riveter rotates while moving along the Z axis at the same time, by pressure and rotational force it completes the column riveting on sheet metal parts.

关键词：机器人；旋转；铆接；机械

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An efficiency of an multi-robot systems depends on proper coordinating tasks of all robots. This paper presents a game theoretic approach to modelling and solving the pick-up and collection problem. The classical form of this problem is modified in order to introduce the aspect of an uncertainty related to an information about the workspace inside of which robots are intended to perform the task. The process of modelling the problem in game theoretic framework, as well as cooperative solution to the problem is discussed in thise paper. Results of exemplary simulations are presented to prove the suitability of theapproach presented.

关键词：机器人；任务规划；不确定性；游戏理论

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One of the most common problems of autonomous mobile robots is object avoidance in a dynamically changing environment. The effectiveness of algorithms responsible for trajectory planing is largely dependent on the correct sensory input. It is necessary to equip a mobile robot with the proper sensors to allow a correct functioning in unknown terrain. With the high degree of complexity standard point distance sensors are insufficient for high speed movement. The recent development of compact laser range finders allowed the minimization of robot dimensions. Hokuyo UTM-30LX is an example of such a sensor. For a precise understanding of the measurements, a characterization of a sensor is needed. This paper is summarizes the parameters of Hokuyo UTM-30LX laser range finder, in particular: drift effect, influence of target distance, surface brightness, color and material, and the sensor orientation. The parameters measured prove that the Hokuyo UTM-30LX can be used in a mobile robot system for complex object detection and avoidance.

关键词：机器人；激光测距仪；自主移动机器人；对象回避

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The Dempster-Shafer Theory, a generalization of the Bayesian theory, is based on the idea of belief and as such can handle ignorance. When all of the required information is available, many data fusion methods provide a solid approach. Yet, most do not have a good way of dealing with ignorance. In the absence of information, these methods must then make assumptions about the sensor data. However, the real data may not fit well within the assumed model. Consequently, the results are often unsatisfactory and inconsistent. The Dempster-Shafer Theory is not hindered by incomplete models or by the lack of prior information. Evidence is assigned based solely on what is known, and nothing is assumed. Hence, it can provide a fast and accurate means for multi-sensor fusion with ignorance. In this research, we apply the Dempster-Shafer Theory in target tracking and in gait analysis. We also discuss the Dempster-Shafer framework for fusing data from a Global Positioning System(GPS) and an Inertial Measurement Unit(IMU) sensor unit for precise local navigation. Within this application,we present solutions where GPS outages occur.

关键词：数据融合；不确定性；多传感器；随机过程

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The increased use of Wireless Sensor Networks(WSN) for geolocation has led to an increased reliance on this technology. Jamming , protecting jamming , and detecting jamming in a WSN are areas of study that have greatly increased in interest. This research uses simulations and data collected from hardware experiments to test the effects of jamming on a WSN. Hardware jamming was tested using a Universal Software Radio Peripheral(USRP) Version 2 to assess the effects of jamming on a cooperative network of Java Sun SPOTs. The research combines simulations and data collected from the hardware experiments to see the effects of jamming on cooperative and noncooperative geolocation.

关键词：多传感器；位置查找；无线电干扰；无线电信号；无线计算机网络；计算机模拟，定向天线；对数周期天线；全向天线；无线电接收器，无线电发射机；信号处理

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This paper describes the application of the optimization algorithm based on particle swarms known by its acronym as PSO, used to adjust the parameters of membership functions of a fuzzy logic controller (FLC) to find the optimal intelligent control for a wheeled autonomous mobile robot. Results of several simulations show that the PSO is able to optimize the type-1 and type 2 FLCs for this specific application.

关键词：机器人；控制器；PSO；自主移动

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