2012 International Conference of Robotics and Artificial Intelligence最新文献_第2页

GPS-based landmine detection system for multiple operating units 基于gps的多作战单元地雷探测系统

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413408

Salman-ul-Hassan Dar, Z. Tanzeel, F. Mahmood, U. Izhar

引用次数: 5

Identification of fNIRS based brain activity using adaptive algorithm 基于fNIRS的脑活动自适应识别算法

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413399

K. Hong, M. M. N. Mannan

引用次数: 4

Aerodynamic analysis and dynamic modeling of small horizontal axis wind turbine 小型水平轴风力机气动分析与动力学建模

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413406

S. Khan, A. Khan, M. Irfan, S. Hussain

{"title":"Aerodynamic analysis and dynamic modeling of small horizontal axis wind turbine","authors":"S. Khan, A. Khan, M. Irfan, S. Hussain","doi":"10.1109/ICRAI.2012.6413406","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413406","url":null,"abstract":"In wind turbine the output torque and power depends on the incoming wind speed. Due to the rapid changes in the incoming wind speed the quality of output power becomes a serious problem. Many controls are introduced in wind turbines in order to get a constant output rated power. In this research work we have focused on dynamic analysis and Pitch control of horizontal axis wind turbine. Pitch control is one of the most useful and important control that is present in all of the current wind turbine models. For dynamic analysis and pitch control, simulation techniques and experimental works were done side by side. Simulations were carried out in ADAMS software in which a wind turbine model was imported from Pro/E. The Matlab functions calculated the wind turbine blade parameters and aerodynamic forces. The aerodynamic forces were applied on wind turbine blades in ADAMS environment. Various changes were made in wind turbine blade parameters and similarly output graphs were obtained from ADAMS post-processor. On the other side a wood model of wind turbine was made and tested by applying wind on its blades. The input wind speed was sensed by the sensors and when this speed data was given to the controller it rotated the stepper motors connected with each blade of the turbine. It showed that by introducing the pitch control the power output was successfully controlled in high and low speed conditions, and as a result the overloading and outage of the wind turbine was prevented. By modeling the wind turbine in virtual environment it became very easy to design and test various wind turbine models prior to manufacture.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133414703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Integrated collision avoidance and tracking system for mobile robot 移动机器人一体化避碰跟踪系统

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413412

I. Ullah, Q. Ullah, F. Ullah, Seoyong Shin

{"title":"Integrated collision avoidance and tracking system for mobile robot","authors":"I. Ullah, Q. Ullah, F. Ullah, Seoyong Shin","doi":"10.1109/ICRAI.2012.6413412","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413412","url":null,"abstract":"In the intelligent transportation system, various accident avoidance techniques have been applied. Among them, one of the most common issues is the collision, which is yet unsolved problem. To this end, we develop collision warning and avoidance system (CWAS), which is implemented in the wheeled mobile robot. Likewise, path planning is a crucial problem in the mobile robots to perform a given task correctly. Here, a tracking system is presented for the mobile robot, which follows an object. Thus, we have implemented an integrated CWAS and tracking system in the mobile robot. Both systems can be activated independently. In the CWAS, the robot is controlled through a remotely controlled device, and collision prediction and avoidance functions are performed. In the tracking system, the robot performs tasks autonomously, where the robot maintains a constant distance from the followed object. The surrounding information is obtained through the range sensors, and the control functions are performed through the microcontroller. The front, left, and right sensors are activated to track the object, and all the sensors are used for the CWAS. Two algorithms based on the sensory information are developed with the distance control approach. The proposed system is tested using the binary logic controller and the fuzzy logic controller (FLC). The comparison of both controllers is also described by preferring time delay and complexity. The efficiency of the robot is improved by increasing smoothness in motion using the FLC, achieving accuracy in tracking, and advancements in the CWAS. Finally, simulation and experimental outcomes have displayed the authenticity of the system.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116240483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

CoGMI: Coordinated gestures for one-handed mobile interaction CoGMI:用于单手移动交互的协调手势

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413379

Muhammad Mohsin Rohani, Muhammad Tahir, Arif Mushtaq

引用次数: 1

Control strategies for robotic manipulators 机械臂的控制策略

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413422

M. Khan, Raza ul Islam, J. Iqbal

引用次数: 33

Detection of knocking in Spark Ignition (SI) engines using CMAC neural networks 基于CMAC神经网络的火花点火发动机爆震检测

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413381

K. Kamal, M. Farid, S. Mathavan

引用次数: 1

Segway electric vehicle 赛格威电动车

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413423

M. Draz, M. Shoukath Ali, M. Majeed, U. Ejaz, U. Izhar

引用次数: 17

PID control behavior and sensor filtering for a self balancing personal vehicle 自平衡小车PID控制行为及传感器滤波

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413419

M. Abdullah Bin Azhar, W. Hassan, U. Rahim

引用次数: 13

Keyboard and mouse interaction based mood measurement using artificial neural networks 基于键盘和鼠标交互的人工神经网络情绪测量

2012 International Conference of Robotics and Artificial Intelligence Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413378

M. S. Khan, I. Khan, M. Shafi

引用次数: 4