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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This paper describes a multi-scale navigation method for intelligent wheelchair based on hierarchical Partially Observable Decision Process (POMDPs) and dynamic Bayesian networks (DBNs) in indoor environment. The inte...
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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 many robotic applications it is required to manipulate a specific rigid object whose CAD model is known a priori, but its position and orientation in space are unknown. This category of tasks includes piercing, pai...
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Vibrations of electrostatically-Actuated microbeams are investigated. Effects of electrostatic actuation, axial stress and midplane stretching are considered in the model. Galerkin's decomposition method is utiliz...
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The interaction between the snake-like robot and environment produces serpentine action to push the body forward. A slender body shape made from many modules occupies a larger scale. In this paper, snake-like robot mo...
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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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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.
This paper presents a dynamic object grasping strategy based on the predictive control algorithm. Simulation results and preliminary experiments show that the control method is able to complete the dynamic object gras...
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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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