To understand capillary interactions between probe tips and nanoparticles under ambient conditions, a theoretical model of capillary forces between them is developed based on the geometric relations. It is found that ...
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To understand capillary interactions between probe tips and nanoparticles under ambient conditions, a theoretical model of capillary forces between them is developed based on the geometric relations. It is found that the contribution of surface tension force to the total capillary force attains to similar order of magnitude as the capillary pressure force in many cases. It is also shown that the tip shape and the radial distance of the meniscus have great influence on the capillary force. The capillary force decreases with the increasing separation distances, and the variance of the contact angles may change the magnitudes of capillary forces several times at large radial distances. The applicability of the symmetric meniscus approximation is discussed.
Simultaneous localization and mapping (SLAM) is an important topic in the autonomous mobile robot research. An improved Rao-Blackwellised particle filter (IRBPF) algorithm is proposed for the mobile robot to SLAM, whi...
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Simultaneous localization and mapping (SLAM) is an important topic in the autonomous mobile robot research. An improved Rao-Blackwellised particle filter (IRBPF) algorithm is proposed for the mobile robot to SLAM, which can simultaneously localize the robot and build up the map in the structured indoor environment. Firstly, IRBPF respectively uses particle filters (PF) to estimate the posterior probability distributions of robot postures and landmarks in the environment map. Secondly, an adaptive re-sampling technique is used to reduce the times of re-sampling so as to maintain a reasonable speed of samples, thus it reduce the risk of sample depletion. Finally, a robust motion model and an observation model with only ranging sensor and odometer are constructed. Experiment results indicate that the IRBPF algorithm builds the consistent map and modified the precision and real-time performance of localization and mapping, the SLAM results show the efficiency of this IRBPF algorithm.
A new anthropomorphic robot with a five-finger dexterous hand-named HIT/DLR Hand II-was developed to make hand appearance and structural functions more anthropomorphic. The hand is composed of an independent palm and ...
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A new anthropomorphic robot with a five-finger dexterous hand-named HIT/DLR Hand II-was developed to make hand appearance and structural functions more anthropomorphic. The hand is composed of an independent palm and five identical modular fingers, and each finger has three degrees of freedom (DOF) and four joints. To meet the mechatronic idea, all actuators, drivers, and electronics were integrated in the fingers and the palm. By using a steel coupling mechanism, the distal phalanx transmission ratio was kept exactly 1:1 over the whole movement range. The packing mechanism which was implemented in the fingers and palm not only reduces the size of whole hand but also makes it more anthropomorphic. The finger size is about one third of the former finger in this innovative design. In additional, the newly designed force/torque and position sensors are well integrated with the hand. It was verified by experiments that the dexterous hand not only met design goals, but also exhibits great grasping capacity.
Configuration information acquisition and matching are two important steps in the self-reconfiguring process of self-reconfigurable robots. The process of configuration information acquisition was introduced, and a se...
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Configuration information acquisition and matching are two important steps in the self-reconfiguring process of self-reconfigurable robots. The process of configuration information acquisition was introduced, and a self-reconfiguring configuration matching strategy based on graded optimization mechanism was proposed. The first-grade optimization was to search common connection between matching scheme and goal configuration. The second-grade optimization, whose object function was constructed in terms of configuration connectivity, was to search common topology according to the results of the first-grade optimization. The entire process of configuration information acquisition and matching was verified by an experiment and genetic algorithm (GA). The result shows the accuracy of the configuration information acquisition and the effectiveness of the configuration matching method.
The paper puts forward a new concept of the Satellite On-Orbit Self-Servicing using vision. In order to verify this concept, a prototype vision system has been presented by integrating vision techniques. Cooperative o...
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In order to analyze the performance of lunar rover, drawbar pull and motion resistance are analyzed in this paper based on terramechanics. The relationships between configuration parameters (like wheel width, wheel ba...
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Considering that the trajectory and the stance of frog jumping movement are the basis of the research on the biological jumping mechanism of biomimetic robot design, a new method of trajectory extraction from animal...
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Considering that the trajectory and the stance of frog jumping movement are the basis of the research on the biological jumping mechanism of biomimetic robot design, a new method of trajectory extraction from animal's movement is presented. With the help of the proposal, views from both sides or from the top of the frog moving can be captured simultaneously. And the 3D information was obtained after the correction for the perspective effect and the reduction of error produced by coefficient. To overcome the shortcoming of large amount of calculation, a program is designed to deal with the video images. And finally the curve of the position, the velocity and the acceleration of each point and the angle of each joint of frog are exported. The results of experiment and analysis show that the new method could be employed to develop and control a jumping robot.
A set of three-dimensional profile detection system based on machine vision is designed for profile detection of parts on product line. This system mainly consists of a data acquisition module based on CCD (charge cou...
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A set of three-dimensional profile detection system based on machine vision is designed for profile detection of parts on product line. This system mainly consists of a data acquisition module based on CCD (charge coupled device), an embedded data processing module based on FPGA (field programmable gate array), a data transmitting module based on USB (universal serial bus), and an image display module based on OpenGL. The structure of this system is very compact, and it can reach higher resolution for parts moving in high speed on product line. Data processing module can run many arithmetics in it, therefore we can choose better. USB data transmitting interface offers faster data transmitting speed, and allows plugging and pulling device when the computer is powered on, so it avoids disadvantages of PCI (peripheral component interconnection) interface which is based on slot, and needs opening of the chassis. Display module based on VC shows detection result in graphic mode, it is more direct and conveniently realizes intercommunication between people and computer.
A new method which can segment gesture from general and complex backgrounds is introduced. First, this method deals the gesture picture which is get in the general background by convolute filter, and verifies clusteri...
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A new method which can segment gesture from general and complex backgrounds is introduced. First, this method deals the gesture picture which is get in the general background by convolute filter, and verifies clustering character of complexion, then by the complexion and geometry characters of the gestures, this method segments gestures from the backgrounds successfully. At last, by experiments of different backgrounds and eight different gestures, the validity of the method is verified, static state identify rate is 99%.
A method of feature extraction which is composed of invariable moment functions and Principal Component Analysis (PCA) is presented in order to recognize and classify the surface defects of strips. First, a 22-dimensi...
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A method of feature extraction which is composed of invariable moment functions and Principal Component Analysis (PCA) is presented in order to recognize and classify the surface defects of strips. First, a 22-dimensional eigenvector which was invariable was extracted from images when the image was translated, scaled and rotated. And then, in order to improve the efficiency of classification, PCA was applied to reduce the dimension of the eigenvector. As a result, the 4-dimensional eigenvector was obtained. Finally, using these eigenvectors as input, weights and thresholds of the BP neural network were trained for the purpose of defect classification. Experimental results show that the average efficiency of the correct identification can reach 85%, and it's fit for the application for detection of surface defects of strips.
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