2013
DOI: 10.1007/978-3-319-01592-7_12
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An Integrated Approach for Intelligent Path Planning and Control of Mobile Robot in Structured Environment

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Cited by 3 publications
(2 citation statements)
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“…[2] computes the longitudinal velocity by solving an optimization problem that incorporates kinematic constraints, and then uses it as an input to the kinematic controller of. 9 In the third objective (III), the configuration error defined by 9,10,[18][19][20] is stated as the difference between the configuration of the real platform with the configuration of a virtual platform that follows a trajectory at prescribed times with respect to a velocity profile (cf. 21 for an example of velocity planning according to kinematic constraints).…”
Section: Comparison With Previous Workmentioning
confidence: 99%
“…[2] computes the longitudinal velocity by solving an optimization problem that incorporates kinematic constraints, and then uses it as an input to the kinematic controller of. 9 In the third objective (III), the configuration error defined by 9,10,[18][19][20] is stated as the difference between the configuration of the real platform with the configuration of a virtual platform that follows a trajectory at prescribed times with respect to a velocity profile (cf. 21 for an example of velocity planning according to kinematic constraints).…”
Section: Comparison With Previous Workmentioning
confidence: 99%
“…In general path planning and obstacle avoidance algorithms, coupled with control schemes, are one of the major areas of focus in the field of autonomous vehicles [1].…”
Section: Introductionmentioning
confidence: 99%