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Titlebook: Interactive Collaborative Robotics; First International Andrey Ronzhin,Gerhard Rigoll,Roman Meshcheryakov Conference proceedings 2016 Spri

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樓主: Withdrawal
21#
發(fā)表于 2025-3-25 03:38:57 | 只看該作者
Conceptual Model of Cyberphysical Environment Based on Collaborative Work of Distributed Means and ormation-control and service tasks between mobile robots, embedded devices, mobile client devices, stationary service equipment, and cloud computing and information resources. The task of structural-parametric synthesis of the corresponding cyberphysical system is formalized. Methods of integer-valu
22#
發(fā)表于 2025-3-25 09:18:38 | 只看該作者
23#
發(fā)表于 2025-3-25 15:22:05 | 只看該作者
24#
發(fā)表于 2025-3-25 17:26:47 | 只看該作者
Development of Wireless Charging Robot for Indoor Environment Based on Probabilistic Roadmap,thms such as Travel Salesman Problem, Probabilistic Roadmap and Fuzzy C-means Clustering are used for development of such a system. The testbed is constructed by Arduino Uno, Arduino WIFI Shield, Go-between Shield by Mayhew Lab and Polulu Zumo robot for Arduino Ver.1.2. All the algorithms are coded
25#
發(fā)表于 2025-3-25 21:39:40 | 只看該作者
26#
發(fā)表于 2025-3-26 03:42:11 | 只看該作者
Educational Marine Robotics in SMTU,Marine Robotics: Education through Research? (MRER) are considered in the paper. The directions of research conducted at SMTU in the field of marine robotics, as well as up-to-date technologies of training of future engineers specializing in a certain area are represented. Some work results of a stu
27#
發(fā)表于 2025-3-26 05:20:10 | 只看該作者
Human-Machine Speech-Based Interfaces with Augmented Reality and Interactive Systems for Controllin vision and sensorial systems. Following a general concept, and motivation towards intelligent human-machine communication through artificial neural networks, selected methods are proposed, which provide further directions both of recent as well as of future research on human-machine interaction. Th
28#
發(fā)表于 2025-3-26 11:21:48 | 只看該作者
Human-Robot Interaction Using Brain-Computer Interface Based on EEG Signal Decoding,em is important for providing control of robots and unmanned vehicles. At the interaction a human operator can form commands for robot control. It is proposed to use a noninvasive brain-computer interface based on the decoding of signals of brain activity during motor imagery to generate the supervi
29#
發(fā)表于 2025-3-26 14:24:47 | 只看該作者
30#
發(fā)表于 2025-3-26 20:14:41 | 只看該作者
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