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Titlebook: Next Wave in Robotics; 14th FIRA RoboWorld Tzuu-Hseng S. Li,Kuo-Yang Tu,Haw-Ching Yang Conference proceedings 2011 Springer-Verlag GmbH Be

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31#
發(fā)表于 2025-3-26 22:54:17 | 只看該作者
A SoPC-Based Surveillance System,. We try to mount a camera on a two-dimensional rotation machinery so as to dynamically search the environment by controlling the rotation of this machinery. In detection mode, the system rotates the machinery along a predefined path to capture images with fixed time interval and compare the images
32#
發(fā)表于 2025-3-27 01:17:20 | 只看該作者
33#
發(fā)表于 2025-3-27 06:03:13 | 只看該作者
34#
發(fā)表于 2025-3-27 11:57:54 | 只看該作者
Dynamic Patrol Planning in a Cooperative Multi-robot System,nning. The patrol mission of each robot needs to be updated when the number of mobile robots increases or decreases during patrol. From the results of the simulation, it is clear that the proposed approach demonstrates several advantages, such as decreased time complexity, a lower routing path cost,
35#
發(fā)表于 2025-3-27 17:23:14 | 只看該作者
Vision-Based Robot Manipulator Design,ulder, an elbow, a wrist, and a movable gripper are designed to let the robot manipulator have 5 degrees of freedom (DOF). The forward kinematics and inverse kinematics are applied to control the manipulator. The forward kinematics is obtained by the D-H (Denavit-Hartenberg) coordinate. The D-H matr
36#
發(fā)表于 2025-3-27 18:10:00 | 只看該作者
Planar Robot Position and Orientation Measurement Using a Monocular Vision,ated with a detection method for abstracting the scale- and orientation-invariant image features. Instead of using multiple cameras, a monocular vision is utilized as the only sensing device to reduce the computation cost. The scale- and orientation-invariant method is employed to guarantee a robust
37#
發(fā)表于 2025-3-27 22:54:28 | 只看該作者
38#
發(fā)表于 2025-3-28 04:58:55 | 只看該作者
39#
發(fā)表于 2025-3-28 08:47:19 | 只看該作者
Learning of Facial Gestures Using SVMs,This paper describes the implementation of a fast and accurate gesture recognition system. Image sequences are used to train a standard SVM to recognize Yes, No, and Neutral gestures from different users. We show that our system is able to detect facial gestures with more than 80% accuracy from even small input images.
40#
發(fā)表于 2025-3-28 13:52:56 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/n/image/666253.jpg
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