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Titlebook: Artificial Intelligence and Robotics; 7th International Sy Shuo Yang,Huimin Lu Conference proceedings 2022 The Editor(s) (if applicable) an

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樓主: Curator
31#
發(fā)表于 2025-3-27 00:15:55 | 只看該作者
Optimal SVM Using an Improved FOA of Evolutionary Computing, the dynamic change of step size, which makes the fruit fly optimization algorithm (FOA) have strong local optimization ability and improve the convergence accuracy. The smell concentration determination formula is improved to realize the search of the algorithm in the negative value range. This pap
32#
發(fā)表于 2025-3-27 01:45:48 | 只看該作者
Analysis and Control for Bilateral Teleoperation Systems with Part Active Power, to be passive devices. However, master manipulators may always bring part active power in the integral network due to the active haptic device. In this paper, we study the bilateral system with part active power, analyze the stability condition is analyzed and a PD bilateral controller is proposed
33#
發(fā)表于 2025-3-27 05:47:15 | 只看該作者
34#
發(fā)表于 2025-3-27 11:43:19 | 只看該作者
An Active Robotic Detumbling Method Based on Deep Reinforcement Learning for Non-cooperative Spacec it easy to capture. In this paper, we propose a new brush-type detumbling method base on deep deterministic policy gradient (DDPG) for achieving the autonomous detumbling trajectory planning and control strategy of robot arm for the first time. We propose a recommended racemization point as a state
35#
發(fā)表于 2025-3-27 14:22:21 | 只看該作者
A Bilateral Controller for Pharyngeal Swab Test Teleoperation System,rsonnel. However, the current detection methods make the medical staff exposed to the dangerous environment for a long time, which is very easy to cause the infection of medical staff. In view of the relative shortage of medical staff, this paper proposes to use the teleoperation system for pharynge
36#
發(fā)表于 2025-3-27 17:56:05 | 只看該作者
Enhanced Feature Fusion and Multiple Receptive Fields Object Detection,ely use different levels of feature maps. We present an enhanced feature fusion and multi receptive field object detector, named EM-CenterNet. Our detector first fuses different levels of feature maps, and then enhances feature fusion through semantic information transfer path. Besides, we design an
37#
發(fā)表于 2025-3-27 23:38:12 | 只看該作者
An Object Detection and Pose Estimation Method for AR Application,pecially on the problem of 3D object detection in AR field, a variety of novel algorithms are in bloom. However, these algorithms are either low precision or slow speed. Therefore, we propose an object detection and pose estimation method for AR Application, which is a model for 6D pose estimation o
38#
發(fā)表于 2025-3-28 03:43:56 | 只看該作者
39#
發(fā)表于 2025-3-28 08:38:09 | 只看該作者
40#
發(fā)表于 2025-3-28 11:59:31 | 只看該作者
Deep Learning-Based Virtual Trajectory Generation Scheme,rajectory privacy of users is protected by virtual trajectory generation algorithm constructed by statistical method. Since the user’s motion model is a complex equation, it is difficult to model it mathematically, because the user’s trajectory model does not consider its motion model, limiting the
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