As we all know, rigid structure is the universal form of robots. They can be controlled accurately, but are not suitable enough for applying in rehabilitation, especially for hands. Human's hands have some complic...
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ISBN:
(纸本)9781479970995
As we all know, rigid structure is the universal form of robots. They can be controlled accurately, but are not suitable enough for applying in rehabilitation, especially for hands. Human's hands have some complicated patterns of movement and narrow joint range of motion, so rigid accessory equipment may cause secondary injury. For the purpose of avoiding this potential risk, the idea of applying soft structure to hand rehabilitation robot is presented in this paper. The soft robot is a new research direction in the field of robot industry, especially in rehabilitation. The soft actuator we presented is made of liquid silicone and thread, and can be tied to the back of human's hands. When it is inflated or deflated, a bending and stretching motion of hands follow with the deformation of soft actuators. It works by deforming repeatedly. The soft actuator has some advantages such as portable, lightweight, low-cost, safe, low-impedance and so on. It works well by the cooperation of vacuum pump which can provide incessant air and solenoid valve which is used for reversing. In the whole system, force sensing resistor and bending sensor are used in the experiments. In order to prove that the soft actuator can work smoothly, we had a test to explore the relationship between air inflow and bending angle. The result that their relationship is close to a straight line means controlling easily and working well. Beacons of these advantages the soft robots have, a wide application prospect in rehabilitation or other fields is available.
During the measurement of a capacitive tactile sensor array, there always appear large and unknown parasitic capacitance and other capacitance conducted by the effect of the charge injection on analogue switches, whic...
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During the measurement of a capacitive tactile sensor array, there always appear large and unknown parasitic capacitance and other capacitance conducted by the effect of the charge injection on analogue switches, which seriously limits the measuring accuracy of the tactile sensor. This article analyses the various performance indicators of MS3110 P based on the experiments. A P controller used to match the charge injection effect conducted by the analogue switch has been investigated. The measurement mode of a micro-capacitor array detection circuit possessing the function of single capacitance array and the measurement mode of differential capacitance array, have been designed. Besides this, causes of parasitic capacitance have been discussed. The experimental results demonstrate that the designed circuit overcomes the impact of various parasitic capacitances on the sensor and enhances the measuring accuracy. It can meet the needs of the measurement requirements of a micro-capacitor array for MEMS sensors.
This paper attempts to use a simple and practical method based on the finite element theory and orthogonal design for the optimal structural parameters of machine tool bed. Dynamics finite element model of MCH63 machi...
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This paper attempts to use a simple and practical method based on the finite element theory and orthogonal design for the optimal structural parameters of machine tool bed. Dynamics finite element model of MCH63 machine tool bed has been established with the finite element analytic technique in order to improve the dynamic characteristics. The thickness of the ribs are looked as the design variables, the orthogonal design is used to optimize the natural frequency and the total mass. The simulation result indicates that the method is simple, effective and feasible.
The mathematic model to minimize the total processing cost of task allocation and resource selection is given whilst meeting necessary *** optimal approach by employing integer linear programming is used to deal with ...
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The mathematic model to minimize the total processing cost of task allocation and resource selection is given whilst meeting necessary *** optimal approach by employing integer linear programming is used to deal with task allocation and resource selection *** result indicates that the task allocation problem and the global optimization of manufacturing system can be solved efficiently by using integer linear programming approach.
This paper presents an algorithm for real time weld seam detection and feature extraction of butt weld, which is based on laser vision sensor installed on the end hand of welding robot. The algorithm preprocesses the ...
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This paper presents an algorithm for real time weld seam detection and feature extraction of butt weld, which is based on laser vision sensor installed on the end hand of welding robot. The algorithm preprocesses the weld seam images captured by laser vision sensor as first step and then detects laser stripe edges thus obtains the center of laser stripe. Then a two-step method is used to extract the initial value of center point of weld seam. Finally the weld region is separated from the laser stripe center line using iterative search method, then two edge points and accurate center point of weld region together with the width of weld seam can be calculated. Experiments have shown that the algorithm proposed in this paper has good stability and accuracy, and it can meet the real-time requirements.
In this paper, the usual feedrate control methods are introduced. The characters of them are analyzed. The shortcomings such as the discontinuity of acceleration and jerk in these methods will influence the accuracy o...
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This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinea...
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This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinear industrial process, the multiple-model LPV model in which the global model is constructed by smoothly weighted combination of multiple local models is considered here. The problem of missing output variables data is commonly encountered in practice. In order to handle the multiple-model identification problems of LPV systems with incomplete data, the local model is taken to have a finite impulse response (FIR) model structure and the generalized expectation-maximization (EM) algorithm is adopted to estimate the unknown parameters of the global LPV model. To avoid the problems of ill-conditioned matrices and high sensitivity of parameters to noise, the prior information on the coefficients of each local FIR model is employed to construct the prior probability of unknown parameters. Then the maximum a posteriori (MAP) estimates of the global model parameters are derived via the generalized EM algorithm. The numerical example is presented to demonstrate the effectiveness of the proposed method.
Joint flexibility is the key factor during dynamic control of robot manipulator. Accurate dynamic model is the fundamental of manipulator system design, analysis and control. This paper adopts Lagrange method to accom...
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Random vibration is being specified for acceptance tests, screening tests and qualification tests by manufacturers of electronic equipment meant for military applications, because it has been shown that random vibrati...
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The field monitoring devices were developed for Computer numericalcontrol (CNC) machine tools based on embedded system, using STM32 series microprocessor, which can acquire the operating parameters of machine tools. ...
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