This paper presents a new approach to establish a dynamic model of robot joints. The model is constructed by ideally dividing a robot joint into high-speed block and low-speed block and described with nonlinear charac...
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Empirical mode decomposition(EMD) is a new signal decomposition method, which could decompose the non-stationary signal into several single-component intrinsic mode functions (IMFs) and each IMF has some physical mean...
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Empirical mode decomposition(EMD) is a new signal decomposition method, which could decompose the non-stationary signal into several single-component intrinsic mode functions (IMFs) and each IMF has some physical meanings. This paper studies the single trial extraction of visual evoked potential by combining EMD and wavelet threshold filter. Experimental results showed that the EMD based method can separate the noise out of the event related potentials (ERPs) and effectively extract the weak ERPs in strong background noise, which manifested as the waveform characteristics and root mean square error (RMSE).
The extended nonholonomic double intergrator (ENDI) cannot be asymptotically stabilized by a continuous and time-invariant feedback controller since it violates the Brockett's condition. In this paper, a new conti...
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In this paper, a novel feature called ECC is proposed via feature extraction of the Hilbert energy spectrum which describes the distribution of the instantaneous energy. The experimental results conspicuously demonstr...
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A pipe cleaning robot for central air-condition named PCV-1 is developed to adapt to the pipe environment. This robot consists of three parts: middle part and front part as well as back part. One part in the middle of...
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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 ...
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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.
Speech emotion recognition is an important issue in the development of human-robot interactions (HRI). This paper describes the realization of emotional interaction for an intelligent emotional robot, focusing on spee...
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ISBN:
(纸本)9781601321480
Speech emotion recognition is an important issue in the development of human-robot interactions (HRI). This paper describes the realization of emotional interaction for an intelligent emotional robot, focusing on speech emotion recognition. Accordingly, a series of novel robust features for emotion recognition is proposed. Those features, which derived from the Hilbert-Huang transform and empirical mode decomposition, have the characteristics of multi-resolution, self-adaptability and high precision of distinguish ability. In the experiments, seven status of emotion were selected to be recognized and the highest 83.57% recognition rate was achieved within the classification accuracy of boredom reached up to 100%. The numerical results indicate that the proposed features are robust and the performance of speech emotion recognition is improved substantially.
We present a novel object detection framework that uses the local shape patches features combining the interclass global features information. A supervised local model learning architecture is proposed: a novel intere...
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This paper presents a new approach to establish a dynamic model of robot joints. The model is constructed by ideally dividing a robot joint into high-speed block and low-speed block and described with nonlinear charac...
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ISBN:
(纸本)9781424493197
This paper presents a new approach to establish a dynamic model of robot joints. The model is constructed by ideally dividing a robot joint into high-speed block and low-speed block and described with nonlinear characteristics such as friction, backlash and hysteresis. The friction behavior of two blocks is captured by the Generalized Maxwell-Slip model. The Preisach model is used to describe the hysteresis character of joints. Because the “congruency” assumption of hysteresis, which is needed in the Preisach model, is not strictly tenable in complex joints, so there construct the hysteresis model through Preisach model plus a nonlinear stiffness. A simple and effective method is developed to model the backlash behavior in joints. The integrated joint model of an industry robot built by our laboratory is established and simulation model is constructed in Simulink of Matlab. The validity of this model is demonstrated and a new avenue opened in this way.
Continuum robot is a new kind of bionic robot, and it is the beneficial supplement to the traditional joint-type robot. This paper presented a design scheme of Hook Joint type continuum robot, and fully discussed its ...
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