Environment Recognition System Based on Multiple Classification Analyses for Mobile Robots

2008 ◽  
Vol 5 ◽  
pp. 113-120 ◽  
Author(s):  
Atsushi Kanda ◽  
Masanori Sato ◽  
Kazuo Ishii
Keyword(s):  
Mobile Robots ◽  
Recognition System ◽  
Multiple Classification ◽  
Environment Recognition

Development of an Environment Recognition System for Multiple Mobile Robots Controlled by a Human

2001 ◽  
Vol 34 (19) ◽  
pp. 321-326
Author(s):  
Akio Nakamura ◽  
Jun Ota ◽  
Shinichiro Kaneko ◽  
Takashi Matsumoto ◽  
Tamio Arai
Keyword(s):  
Mobile Robots ◽  
Recognition System ◽  
Multiple Mobile Robots ◽  
Environment Recognition

Concept of Swarm Specialized Distributed Localization System

2016 ◽  
Vol 817 ◽  
pp. 122-129 ◽  
Author(s):  
Aleksander Budziński ◽  
Tomasz Buratowski ◽  
Mariusz Giergiel
Keyword(s):  
Mobile Robots ◽  
Recognition System ◽  
Localization System ◽  
Connected Set ◽  
Environment Recognition

The article describes the concept and design of indoor distributed localization system. Presented solution was designed primarily for swarm system and was aimed to cooperate with other environment recognition system used for mobile robots. Usage of network connected set of processes, running across simple Linux based computerized platform, provides high redundancy and platform interoperability.

Design and Realization of 2-Dimensional Optical Range Sensor for Environment Recognition in Mobile Robots

2005 ◽  
Vol 17 (2) ◽  
pp. 116-120 ◽  
Author(s):  
Hirohiko Kawata ◽  
◽  
Toshihiro Mori ◽  
Shin’ichi Yuta ◽  
Keyword(s):  
High Resolution ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Amplitude Modulation ◽  
Low Power Consumption ◽  
Optical Range ◽  
Laser Range ◽  
Range Sensor ◽  
Environment Recognition ◽  
Robot Platform

We developed a 2-D laser range sensor suitable for different mobile robot platform sizes. The sensor features compactness, lightweight, high precision and low power consumption and has wide scan angle with high resolution essential for environment recognition in mobile robots. The principle applied to calculate the distance between the sensor and the object involves, applying amplitude modulation to the wave of light and detecting the phase difference between transmitted and received light. In this paper we explain the sensor specifications, the principle of distance measurement and experimental results.

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