2007 IEEE International Conference on Networking, Sensing and Control 2007
DOI: 10.1109/icnsc.2007.372863
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An obstacle avoidance method for two wheeled mobile robot

Abstract: In this paper, we proposed an obstacle avoidance II. MODEL OF A TWO WHEELED MOBILE ROBOT AND method of mobile robot by using lobula giant movementLGMD detector (LGMD) method. The LGMD is an identified neuron in the locust brain that responds most strongly to the image of In this paper, the controlled system is considered as two an approaching object such as a predator. As an assistance .'to the avoidance method, we add a distance measurement wheeled mobile robot which iS shown in Figure 1. The algorithm to LGM… Show more

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Cited by 36 publications
(17 citation statements)
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“…61,270 This reduces the calculation time and creates a potential for employment in certain real-time guidance systems. Many of the related techniques, such as the dynamic window, 83,244 the curvature velocity, 253 and the lane curvature 196 approaches treat the obstacles as static.…”
Section: Sensor-based Techniquesmentioning
confidence: 99%
“…61,270 This reduces the calculation time and creates a potential for employment in certain real-time guidance systems. Many of the related techniques, such as the dynamic window, 83,244 the curvature velocity, 253 and the lane curvature 196 approaches treat the obstacles as static.…”
Section: Sensor-based Techniquesmentioning
confidence: 99%
“…It follows from a simple geometry that if d i (t) ≥ d safe , then the angular velocity of the vector v i (t) + l (h) i (t) is less than F i , where F i is defined by (13). Therefore, Assumption 4.2 implies that the navigation law (10) …”
Section: Assumption 44 We Assume Thatmentioning
confidence: 92%
“…Traditional mobile robots (Deng et al, 2007b;Velagic et al, 2008) employ wheel, or track or leg as propulsive mechanism. The PDC system, considered as a particular mobile robot, utilises internal force and static friction as means of propulsion.…”
Section: Introductionmentioning
confidence: 99%