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Titlebook: Robot Intelligence Technology and Applications 4; Results from the 4th Jong-Hwan Kim,Fakhri Karray,Hyun Myung Conference proceedings 2017 S

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發(fā)表于 2025-3-23 11:55:47 | 只看該作者
12#
發(fā)表于 2025-3-23 14:25:36 | 只看該作者
Design and FPGA Implementation of a Fuzzy-PI Controller for Omnidirectional Robot Systemnonlinear controllers using human expert knowledge. In this article, we present an approach to design and implement a fuzzy logic proportional integral controller (Fuzzy-PI) for omnidirectional robot navigation system, using a field-programmable gate array (FPGA). First, we define the kinematic mode
13#
發(fā)表于 2025-3-23 18:16:32 | 只看該作者
Android-Based Mobile Robotic Platform Performance Testing for Real-Time Navigationwith many sensors useful in robotics. Robot navigation tasks are often recommending high-performance devices (computers) to work on. Nowadays smartphones are also equipped with very powerful processors. Therefore a performance test of different devices with Android operating system including their s
14#
發(fā)表于 2025-3-24 01:22:02 | 只看該作者
15#
發(fā)表于 2025-3-24 06:11:25 | 只看該作者
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發(fā)表于 2025-3-24 09:07:10 | 只看該作者
17#
發(fā)表于 2025-3-24 13:28:15 | 只看該作者
Framework and Modeling of a Multi-robot Simulator for Hospital Logisticsspital day and night. Multiple robots will be deployed at a hospital and coordinating these robots will increase the efficiency of delivery. This paper introduces the framework of the simulator which enables testing coordination algorithms of multiple robots. The simulator models hospital environmen
18#
發(fā)表于 2025-3-24 14:53:47 | 只看該作者
19#
發(fā)表于 2025-3-24 22:00:39 | 只看該作者
Simultaneous Localization and Mapping with a Dynamic Switching Mechanism (SLAM-DSM)ing mechanism, execution efficiency is significantly improved while maintaining an acceptable accuracy of estimations. To show the effectiveness of our proposed approach in comparison to FastSLAM 1.0 and 2.0, several simulations are demonstrated in this paper.
20#
發(fā)表于 2025-3-25 00:28:15 | 只看該作者
Interactive Markerless Augmented Reality System Based on Visual SLAM Algorithmalgorithm, which is resistant to change light conditions, able to track both textured and non-textured objects in real-time mode achieved by introducing a once-performed offline system teaching step. The proposed solution is universal because of the system’s configurability in accordance with the desirable result.
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