Proceedings of the 1994 IEEE International Conference on Robotics and Automation
DOI: 10.1109/robot.1994.350914
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Mobile robot trajectory planning with dynamic and kinematic constraints

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Cited by 43 publications
(30 citation statements)
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“…In (Komoriya & Tanie, 1989) , dynamic trajectory is generated with the minimum travel time for two-wheeled-driven type mobile robot. In (Munoz et al, 1994) visibility-based path is modified to continuous feasible path via B-Spline curves. Using the well known local support property of B-Spline curves, real-time path modification methods are proposed for multiple mobile robots in (Paulos, 1998) and robot manipulators in (Dyllong & Visioli, 2003).…”
Section: Framework Of the Dynamically Feasible Path Planning Algorithmsmentioning
confidence: 99%
“…In (Komoriya & Tanie, 1989) , dynamic trajectory is generated with the minimum travel time for two-wheeled-driven type mobile robot. In (Munoz et al, 1994) visibility-based path is modified to continuous feasible path via B-Spline curves. Using the well known local support property of B-Spline curves, real-time path modification methods are proposed for multiple mobile robots in (Paulos, 1998) and robot manipulators in (Dyllong & Visioli, 2003).…”
Section: Framework Of the Dynamically Feasible Path Planning Algorithmsmentioning
confidence: 99%
“…The values are determined by an equation similar to (19). In this paper the valuep s = 0 has been used.…”
Section: Conditions On the Starting And Ending Pointsmentioning
confidence: 99%
“…Usually, path-planning problem has to take into account nonholonomic and noncollision constraints [14,16], and the control problem is solved by means of path-tracking techniques. Path-planning techniques should consider also physical characteristics of the vehicle such as the steering velocity boundary [19].…”
Section: Introductionmentioning
confidence: 99%
“…Recently various researches of mobile-robots path planning using different path primitives and planning schemes in a given static environments has been presented in the literature, genetic algorithm in particular [1]- [6], [11]- [18]. In general, path planning in robotics can be formulated as nonlinear constrained optimization problems in configuration or Cartesian space.…”
Section: Introductionmentioning
confidence: 99%
“…[1], [8], [12]) and splines (e.g. [11]) to mobile robot path planning are shown. Among these, η 3 -splines published by Piazzi et al [8] reveal its ability to superiorly approximate a rich class of practically useful, commonly used path primitives in wheeled mobile robot path planning such as straight line segment, circular arc, clothoid (Conru spiral) [2].…”
Section: Introductionmentioning
confidence: 99%