From 2006, some key technologies related to multiple Unmanned Underwater Vehicles (UUVs) system have been researched in Shenyang institute of Automation (SIA). In this paper, a smart multiple UUVs simulation system is...
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Hyper-redundant manipulators have been widely used in many fields, however many existing hyper redundant manipulators actuated directly by motors have the disadvantages of complicate structure and high cost. This pape...
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This paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region ...
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Nanomanipulation and nanoassembly using atom force microscopy (AFM) is a potential and promising technology for nanomanufacturing. Precise position of the tip of AFM is important to increase the accuracy and efficienc...
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Nanomanipulation and nanoassembly using atom force microscopy (AFM) is a potential and promising technology for nanomanufacturing. Precise position of the tip of AFM is important to increase the accuracy and efficiency on fabricate complex nanostructures. However at the nanoscale, it is difficult to acquire the tip position expressed by the coordinate in real time due to PZT nonlinearity and thermal drift through the general measure. In this paper, a probabilistic approach incorporating a Kalman filter based localization algorithm is introduced into the on-line estimation of the tip position expressed by probability distribution known as probability density function. A probabilistic motion model of AFM tip is introduced that consists of a PZT dynamic model based on the Prandtl-Ishlinskii (PI) model, and motion error distribution obtained from calibration experiments. An observation model by using a local scanning algorithm is proposed and the change of uncertainty distribution on scanning landmarks, e.g. nano-particles, near the target position is analyzed. Some experiment results are included for showing the motion error distribution and a simulation result is presented to illustrate the validity of the proposed method.
In this paper, we propose a new CPG model for the snake-like robot being able to adapt to different environments. This model can produce typical serpentine, sidewinding and traveling wave locomotion gaits and switch b...
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Mobile robot works in complicated environment have to deal with all kinds of obstacles, some obstacles may leave only a narrow way, and some obstacles moves quickly or arbitrarily, such as a child. The robot must impr...
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The objective of this study is to provide catheterization with a three-dimensional (3D) guiding image and reduce the collision probability between the catheter tip and vascular wall. A bidirectional steerable catheter...
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The objective of this study is to provide catheterization with a three-dimensional (3D) guiding image and reduce the collision probability between the catheter tip and vascular wall. A bidirectional steerable catheter was integrated with two magnetic position-tracking sensors on both sides of its bending segment. The tracking information was displayed on the guiding image, which helped the surgeons to determine the relative position between the catheter tip and surrounding vessels. The navigation path was generated on the basis of the vascular skeleton. Moreover, along the path, a series of guiding circular planes were set as the guidance for the catheter. Three operations (bending, advancing, and twisting) were jointly conducted to get the catheter through these guiding planes in turn and eventually into the target vessel. The effectiveness of the proposed navigation method was verified by experiments implemented in an aorta vascular phantom. The navigation system has a mean error of 0.19mm, a root mean square of 0.49?mm, and a standard deviation of 0.46?mm.
This paper presents a novel ant-based clustering algorithm. Different from conventional ant-based clustering algorithms in which the objects are picked up or dropped down by virtual ants, our propose algorithm looks e...
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This paper presents a novel ant-based clustering algorithm. Different from conventional ant-based clustering algorithms in which the objects are picked up or dropped down by virtual ants, our propose algorithm looks each object as an ant. The objects are first projected to a plane randomly. Then an attractive force field is created. The object (ant) is attracted by the similar ones in its local surrounding and moves to a certain place. The moving direction and moving range are determined by the composite of all attractive forces. The clusters are created by this attractiveness after many iterative cycles. The paper gives the detailed process of the algorithm. The performance of the algorithm is compared with other classic algorithms on several simulated and real datasets. The results are very encouraging in terms of the computation efficiency and clustering quality.
Wheeled exploration robots are prone to slip during locomotion on deformable rough planetary terrain, which leads to loss of velocity and extra consumption of energy. Experimental results show that the power required ...
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Wheeled exploration robots are prone to slip during locomotion on deformable rough planetary terrain, which leads to loss of velocity and extra consumption of energy. Experimental results show that the power required for driving a wheel is an increasing function of its slip ratio; further, the tractive efficiency decreases rapidly after it reaches a peak value when the slip ratio is between 0.05 and 0.2. In this study, wheel-soil interaction terramechanics, which considers the slip ratio as an important state variable, is applied to analyze the quasi-static equations of a planar robot system. The slip ratios of wheels are controllable, but the degree of freedom is the number of wheels minus 1. A generalized algorithm for distributing the slip ratios of all the wheels of a robot to optimize the energy consumption is presented. Experimental and simulation results show that the “equal slip ratio” is at least a sub-optimal solution for optimizing energy consumption. Further, a more robust control method has been developed; this methods aims to equalize the slip ratios of all the wheels while maintaining a constant body velocity on rough terrains, without solving the values of the slip ratios. This method is verified by controlling a virtual four-wheeled robot using dynamics simulations.
When monitoring spatial phenomena, we are not just interested in measurements at sensed locations but also at locations where no sensors were placed. To estimate the scalar field where no sensors are deployed, we need...
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When monitoring spatial phenomena, we are not just interested in measurements at sensed locations but also at locations where no sensors were placed. To estimate the scalar field where no sensors are deployed, we need to interpolate the data. This paper shows how sampling schemes can be optimized by minimizing the integrated Kriging variance based on known covariance (variogram). We propose two approaches to reduce the computation time of searching for the optimal sampling locations. The proposed method was verified that the computing speed gets faster and faster with the number of sampling increasing by simulation.
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