Study and Discussion on Related Technologies of RoboCup Robots

2014 ◽  
Vol 598 ◽  
pp. 627-630
Author(s):  
Di Zhao ◽  
Yu Hong Du ◽  
Bao Lin Wu ◽  
Chen Wu ◽  
Meng Li

As a good experimental platform for multi-agent system, Robot Soccer World Cup (RoboCup) has become a hot topic of artificial intelligence. This paper reviewed the technical characteristics of related robots in Simulation, Small Size, Middle Size and Humanoid It introduced the intelligent control algorithms such as Agent structure, Kalman filtering, self-positioning of robots and ZMP stability judgment.

2008 ◽  
Vol 144 ◽  
pp. 232-237
Author(s):  
Durmus Karayel ◽  
Sinan Serdar Ozkan ◽  
Fahri Vatansever

In this study, an intelligent system model that can evaluate experimental material properties and safety factors is developed. The model contains Artificial Intelligence Technologies such as Artificial Neural Network (ANN) and Fuzzy Logic. It consists of sub modules into interaction. Also, the model can obtain more precision values than interpolation techniques used to classical design. The study contributes to define safety factors, design criterions and safety stress according to a new approach based on information technologies. So, this study can be seen as one of the sub modules of Intelligence Multi Agent System and it can be integrated with Multi Agent System Model for design. Also, it can be used for classical design studies so that results can be quickly obtained. It is expected that this approach will be widely used by designers.


Author(s):  
Tiago Pinto ◽  
Zita Vale

This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computing, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations. AiD-EM demonstration is enabled by its connection to MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).


2012 ◽  
Vol 542-543 ◽  
pp. 1380-1383 ◽  
Author(s):  
You Jie Ma ◽  
Fan Ting Kong ◽  
Xue Song Zhou

Distributed artificial intelligence is an important branch of the artificial intelligence, Agent and Multi-agent system are important aspects of distributed artificial intelligence research. This paper mainly introduce some research and exiting problems about Agent and Multi-agent system in recent years, including the Agent concept, characteristics and structure, Multi-agent system concept, structure and the coordination problem. Finally, I look forward to the development trend of Agent and Multi-agent system.


2018 ◽  
Vol 86 ◽  
pp. 1106-1117 ◽  
Author(s):  
Daniel Grzonka ◽  
Agnieszka Jakóbik ◽  
Joanna Kołodziej ◽  
Sabri Pllana

2021 ◽  
Vol 31 (4) ◽  
pp. 609-627
Author(s):  
Mikhail V. Chugunov ◽  
Irina N. Polunina ◽  
Alexander G. Divin ◽  
Aleksandra A. Generalova ◽  
Artem A. Nikulin ◽  
...  

Introduction. The “Smart Agroˮ committee of Research and Education Center “Engineering of the Future” has identified a number of tasks relevant for improving the efficiency of precision, soil-protecting and conservation agriculture. One of these tasks is the development of a digital multi-agent system, which provides a number of services for agricultural enterprises, developers and manufacturers of agricultural machinery. The purpose of the present study is to model an autonomous mobile robotic platform, including the development of software and hardware for trajectory control. Materials and Methods. To solve the problem, there are used modern CAx systems and their applications, the methods of 3D and full-body modeling, and the method of numerical solution of problems in solid mechanics. To expand and improve the standard functionality of CAx-systems (SolidWorks) in the software implementation of trajectory control algorithms, the methods and technologies of programming using API SolidWorks, VisualStudio C++ (MFC, ATL, COM) are used, and to build physical full-scale models ‒ Arduino and fischertechnik platforms. Results. The result of the study is a software and hardware module of trajectory control for an integrated (physical and virtual) model of a mobile robotic platform, which can be provided to the consumer as a service for technology autonomation. For the developed integrated model, control algorithms for various types of trajectories were tested. Discussion and Conclusion. The developed integrated software and hardware model of trajectory control can be used by developers and manufacturers of agricultural machinery, and directly by agro-enterprises for implementing typical technological processes. A feature of the implementation is an open hardware and software interface that provides the integration of mobile robotic platforms based on a digital multi-agent system.


2021 ◽  
Vol 13 (4) ◽  
pp. 775-793
Author(s):  
Oussama Hamal ◽  
Nour-Eddine El Faddouli ◽  
Moulay Hachem Alaoui Harouni

Nowadays, AI is a real springboard for finding solutions to optimize and improve learning and teaching processes. This issue has been a focus of humanity for millennia, and very significant advances have been made in this quest. This article aims to address the issue of optimizing and improving learning and teaching processes through AI (Artificial Intelligence), considering crossroads of research fields AIED (Artificial Intelligence in Education), EDM (Educational Data Mining) and LA (Learning Analytic). The research made use of secondary data collected from previous research on the topic and primary data was collected using a case study. A comparative analysis was conducted and based on this opportunity, we propose a multi-agent system based on AI techniques, which is capable of performing broader analyses of learning and teaching processes. The research also implemented a prototype of EMAS. Through this system, teachers and learners will be able to access a wide range of relevant and reliable information about learning and teaching processes.   Key words: AIED, EDM, EMAS, LA, recommendation system, education dropping out, emotion detection


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