In this study, we present the local reconstruction of differential-drive mobile robots position and orientation with an accurate odometry calibration. Starting from the encoders readings and assuming an absolute measu...
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This research presents an optimum approach for designing of controller parameters for an unstable system using Genetic Algorithms (GA). The design goal is to minimize the integral absolute error and reduce transient r...
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We study the classification accuracy of a neural network (NN) classifier for a Brain-Machine Interface (BMI) system that uses an imagined-movements mental task set and compare the performance of the classifier when th...
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As Reconfigurable Computing systems become more popular, concerns arise about their security and integrity. Runtime access to the configuration memory of Dynamic Partially Reconfigurable FPGA devices offers new design...
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This paper introduces vision based loop closure detection in Simultaneous Localisation And Mapping (SLAM) using Tree of Words. The loop closure performance in a complex urban environment is examined and an additional ...
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ISBN:
(纸本)9780646506432
This paper introduces vision based loop closure detection in Simultaneous Localisation And Mapping (SLAM) using Tree of Words. The loop closure performance in a complex urban environment is examined and an additional feature is suggested for safer matching. A SLAM ground experiment in an urban area is performed using Tree of Words, a delayed state information filter and planar laser scans for relative pose estimation. Results show that a good map estimation using our vision based loop closure detection can be obtained in near real, yet constant, time. It is shown that an odometry supported recall rate of almost 70% can be obtained with a false detection rate of about 0.01%.
Artworks in museums and art galleries are significantly affected by temperature and relative humidity (RH) variations. Significant variations in temperature can double the deterioration rate of paper and other canvase...
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ISBN:
(纸本)9781424416851
Artworks in museums and art galleries are significantly affected by temperature and relative humidity (RH) variations. Significant variations in temperature can double the deterioration rate of paper and other canvases. Fluctuating levels of RH cause materials to corrode, shrink, swell, or warp. Monitoring and control of indoor climate conditions is thus crucial in ensuring the preservation of art collections. This study addresses the need for monitoring by designing and implementing a wireless sensor network composed of several specialized sensor nodes dumping temperature and RH readings to a base station computer. Each sensor node is equipped with an ASK transmitter and no ASK receiver. This design allows for lower power consumption and highly simplifies communication between the sensor node and base station. The MAC protocol used for the wireless sensor network is ALOHA without retransmissions. The wireless sensor network is evaluated in terms of cost, range, power consumption and packet error rate.
An accurate and robust impedance control technique is developed based on internal model control structure and time-delay estimation: the former injects desired impedance and corrects dynamics estimation error; the lat...
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An accurate and robust impedance control technique is developed based on internal model control structure and time-delay estimation: the former injects desired impedance and corrects dynamics estimation error; the latter estimates and compensates the nonlinear dynamics of robot manipulators. Owing to the simple structure, the proposed control is designed without requiring entire dynamics computation or complex algorithms. The accuracy and robustness of the proposed control are verified using a two degrees of freedom robot with stiff wall simulation. The proposed control realizes desired impedance accurately compared with other competent controllers throughout the task, i.e., free motion, constrained motion, and transition between these motions. Further, proposed control realizes four sets of desired impedance accurately. Thus, accuracy and robustness of proposed control is confirmed.
In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances...
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In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer II mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.
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