Control of mobile robots in the transition from state to state subject to a forward movement scheme*

2021 ◽  
Author(s):  
Amit Ailon
Keyword(s):  
Mobile Robots ◽  
Forward Movement

Market Reforms in Russia: Can the Vicious Circle Be Teared Open?

2004 ◽  
pp. 114-128
Author(s):  
V. Nimushin
Keyword(s):  
Economic Policy ◽  
Comparative Analysis ◽  
Historical Context ◽  
Vicious Circle ◽  
Modern World ◽  
Market Reforms ◽  
Main Task ◽  
Forward Movement ◽  
Socially Responsible ◽  
The Way

In the framework of broad philosophic and historical context the author conducts comparative analysis of the conditions for assimilating liberal values in leading countries of the modern world and in Russia. He defends the idea of inevitable forward movement of Russia on the way of rationalization and cultivation of all aspects of life, but, to his opinion, it will occur not so fast as the "first wave" reformers thought and in other ideological and sociocultural forms than in Europe and America. The author sees the main task of the reformist forces in Russia in consolidation of the society and inplementation of socially responsible economic policy.

Deployment Control of Wireless Multi-Hop-Relay Mobile Robots Based on Voronoi Partition

2012 ◽  
Vol 132 (3) ◽  
pp. 381-388
Author(s):  
Takaaki Imaizumi ◽  
Hiroyuki Murakami ◽  
Yutaka Uchimura
Keyword(s):  
Mobile Robots ◽  
Voronoi Partition

Control of Mobile Robots by Means of Internet

2006 ◽  
Vol 65 (3) ◽  
pp. 229-241
Author(s):  
S. F. Yatsun ◽  
F. K. Freire ◽  
V. S. Dyshenko ◽  
O. A. Shadrina
Keyword(s):  
Mobile Robots

An Obstacle-resistant Relay Node Placement in Constrained Environment

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mobile Robots ◽  
Relay Node ◽  
Wireless Sensor ◽  
Relay Node Placement ◽  
Node Placement ◽  
Simulation Results ◽  
Additional Hardware ◽  
Shape And Size

Relay node placement in wireless sensor networks for constrained environment is a critical task due to various unavoidable constraints. One of the most important constraints is unpredictable obstacles. Handling obstacles during relay node placement is complicated because of complexity involved to estimate the shape and size of obstacles. This paper presents an Obstacle-resistant relay node placement strategy (ORRNP). The proposed solution not only handles the obstacles but also estimates best locations for relay node placement in the network. It also does not involve any additional hardware (mobile robots) to estimate node locations thus can significantly reduce the deployment costs. Simulation results show the effectiveness of our proposed approach.

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