Design of Three-Wheel Mobile Robot Control System

2012 ◽  
Vol 184-185 ◽  
pp. 1550-1553
Author(s):  
Ying Xu ◽  
Liang Wang ◽  
Jin Tan Duan ◽  
Ying Long Peng
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Motion Control ◽  
Structural Design ◽  
Robot Control ◽  
Control Method ◽  
Hierarchical Control ◽  
Experimental Tests ◽  
Mobile Robot Control ◽  
Working Principle

The structure and working principle of motion control system for a three-wheel mobile robot was designed in this paper, it make use of hierarchical control method. AT89S52 was selected as core - controller of bottom control system, completing the structural design of the robot, system's hardware and software design. Through experimental tests, the robot motion control meet the intended requirements.

Research and Realization on the Voice Command Recognition System for Robot Control Based on ARM9

2010 ◽  
Vol 44-47 ◽  
pp. 1422-1426
Author(s):  
Mei Juan Gao ◽  
Zhi Xin Yang
Keyword(s):  
Control System ◽  
Speech Recognition ◽  
Mobile Robot ◽  
Robot Control ◽  
Linear Prediction ◽  
Recognition System ◽  
Recognition Algorithm ◽  
Speech Recognition System ◽  
Mobile Robot Control ◽  
Robot Control System

In this paper, based on the study of two speech recognition algorithms, two designs of speech recognition system are given to realize this isolated speech recognition mobile robot control system based on ARM9 processor. The speech recognition process includes pretreatment of speech signal, characteristic extrication, pattern matching and post-processing. Mel-Frequency cepstrum coefficients (MFCC) and linear prediction cepstrum coefficients (LPCC) are the two most common parameters. Through analysis and comparison the parameters, MFCC shows more noise immunity than LPCC, so MFCC is selected as the characteristic parameters. Both dynamic time warping (DTW) and hidden markov model (HMM) are commonly used algorithm. For the different characteristics of DTW and HMM recognition algorithm, two different programs were designed for mobile robot control system. The effect and speed of the two speech recognition system were analyzed and compared.

scholarly journals Corridor navigation robot using Bond graph

2019 ◽  
Author(s):  
Mohammad Reza Bahrami
Keyword(s):  
Mobile Robot ◽  
Robot Control ◽  
Control Method ◽  
Bond Graph ◽  
Ir Sensors ◽  
Mobile Robot Control ◽  
Stationary Obstacles ◽  
Wall Following

In this research we are trying to find a mobile robot control method for corridor navigation and wall following in a partially known environment, when obstacles trajectory is unknown or information about it is incomplete, and the environment consists of stationary obstacles. Gathering information of the robot traveling is based on IR sensors. The aim of the robot is to select avoidance maneuvers to avoid collision with obstacles.

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