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Titlebook: Interactive Collaborative Robotics; 9th International Co Andrey Ronzhin,Jesus Savage,Roman Meshcheryakov Conference proceedings 2024 The Ed

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樓主: legerdemain
41#
發(fā)表于 2025-3-28 18:39:32 | 只看該作者
Improve Working Performance and Adjust Asynchronous Motor Speed in Robot Actuators with an H-bridgeccording to the power law ratio, 0 voltage states according to the division law in speed control of the asynchronous motor in H-bridge inverter switching pulse width modulation. The results of this plan are surveyed, analyzed, compared and evaluated using simulation models on the software Matlab-Sim
42#
發(fā)表于 2025-3-28 22:44:06 | 只看該作者
Robo-Surveillance of a Solar Park for a Workshop in Interdisciplinary Education,g to computer science, physics, cognition and neuroscience. Yet, there are few opportunities during undergraduate education to experience work and communication between students from these disciplines. For this reason, we devised a scenario where knowledge from these diverse disciplines could be dem
43#
發(fā)表于 2025-3-29 00:24:11 | 只看該作者
44#
發(fā)表于 2025-3-29 04:36:24 | 只看該作者
45#
發(fā)表于 2025-3-29 10:14:01 | 只看該作者
46#
發(fā)表于 2025-3-29 11:55:33 | 只看該作者
Camera-Based Navigation: Convolutional Neural Networks vs Rule-Based Approaches,sed on an Nvidia CNN architecture. We detail our implementation of Hough-Transform-based and pixel-based navigation algorithms and discuss their advantages and disadvantages, including a quantitative comparison of their navigation performance in terms of speed, stability and reliability. We describe
47#
發(fā)表于 2025-3-29 17:29:31 | 只看該作者
Decentralized Unlabeled Multi-agent Navigation in Continuous Space, specific goal. Unlike most of the existing works on this topic that typically assume the existence of the centralized planner (or controller) and limit the agents’ moves to a predefined graph of locations and transitions between them, in this work we focus on the decentralized scenarios, when each
48#
發(fā)表于 2025-3-29 23:27:30 | 只看該作者
Fish Image Classification Based on MobileNetV2 with Transfer Learning Technique for Robotic Applicae art of farming has opened the door to the smart seafood industry, where artificial intelligence, IoT and automation systems are effectively applied and are completely changing management. From water quality management to monitoring the health of farm animals, harvesting, and feeding are all done a
49#
發(fā)表于 2025-3-30 01:53:39 | 只看該作者
50#
發(fā)表于 2025-3-30 05:25:19 | 只看該作者
Mutual Adaptation Model of Operator and Controlled Object in Ergatic Robotic System, system. The simplest collaborative robotic system is taken as a robotic system, the participants of which are a manipulator type robot and an operator. Mutual adaptation in the control process is considered on the example of a system with service discipline and application of an alternative approac
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