Design and Control of an Omni-directional Cleaning Robot Based on Landmarks

Kim, Dong Won; Igor, Yugay; Kang, Eun Seok; Jung, Seul

doi:10.5391/jkiis.2013.23.2.100

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…A variety of techniques and suggestions have been proposed for mobile robot localization [18][19][20][21][22][23][24]. It is evident that a comparison of different techniques was difficult because of a lack of commonly accepted test standards and procedures.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Indoor Robot Localization Using Ultrasonic Sensors

Naveed¹,

2014

International Journal of Fuzzy Logic and Intelligent Systems

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This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environment with a differential drive robot and ultrasonic range sensor system. The analysis uses MATLAB for implementation of the MCL and investigates the effects of the control parameters on the MCL performance. The control parameters are the uncertainty of the motion model of the mobile robot and the noise level of the measurement model of the range sensor.

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Section: Discussionmentioning

confidence: 99%

Analysis of Indoor Robot Localization Using Ultrasonic Sensors

Naveed¹,

2014

International Journal of Fuzzy Logic and Intelligent Systems

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“…A successful UVS must feature several technologies, including localization, path planning, and control, if it is to be autonomous [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Design, Control, and Implementation of Small Quad-Rotor System Under Practical Limitation of Cost Effectiveness

Jeong¹,

Jung²

2013

International Journal of Fuzzy Logic and Intelligent Systems

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This article presents the design, control, and implementation of a small quad-rotor system under the practical limitation of being cost effective for private use, such as in the cases of control education or hobbies involving radio-controlled systems. Several practical problems associated with implementing a small quad-rotor system had to be taken into account to satisfy this cost constraint. First, the size was reduced to attain better maneuverability. Second, the main control hardware was limited to an 8-bit processor such as an AVR to reduce cost. Third, the algorithms related to the control and sensing tasks were optimized to be within the computational capabilities of the available processor within one sampling time. A small quad-rotor system was ultimately implemented after satisfying all of the above practical limitations. Experimental studies were conducted to confirm the control performance and the operational abilities of the system.

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