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This work lays the foundations of a self-collision aware teleoperation framework for compound robots. The need of an haptic enabled system which guarantees self-collision and joint limits avoidance for complex robots is the main motivation behind this paper. The objective of the proposed system is to constrain the user to teleoperate a slave robot inside its safe workspace region through the application...
This paper put forward a new method of observing tongue movement in ultrasound images by calculating the accelerations of tongue points during speech production. By applying this method, the current study further compared the tongue movements in producing Mandarin mid-vowel [τ], the so-called transitional vowel with those of two steady monophthongs [i] and [a] in Mandarin Chinese. The results revealed...
In this paper, we introduce a novel model for simultaneously segment and recognize object using shape prior information. Given a set of training shapes including many different object classes, the target shape in a test image is represented approximately as a sparse convex combination of the training shapes. The proposed model is optimal in the L2 criterion between the unknown true shape and the convex...
High flexibility and high speed is the goal for industrial manufacturing using robots. However, it is difficult to put them together due to the fact that they are contradicting with each other. To solve this problem, a new high reconfigurable gripper is proposed for robotic manipulator to improve its flexibility, so that the robot can accomplish an assembly task with shorter time. In this paper, the...
To improve the accuracy of shape control, shape detection and recognition is essential. In this paper, it established model of virtual instruments and a variety of defect shape model. It calculated the residual stress distribution along the width direction of the variable defect shapes used the finite element method and identified them through the SelPSO-BP shape pattern recognition model. It obtained...
In this paper, we propose a novel model for simultaneous image segmentation and object recognition. Our model is different from previous prior-based level set variatioinal image segmentation in two aspects. The first is the use of the shape sparse representation, which is able to integrate shape priors by linear combination into variational image segmentation. The second is that segmentation and recognition...
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