2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
DOI: 10.1109/iros.2004.1389852
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Discrete dynamic programming for optimized path planning of flexible robots

Abstract: Abstracl-An optimized path-planning approach is presented for flexible dynamic systems. Feedforward command profiles are determined for rest-tomst large angle maneuvers that keep vibrations to a minimum. The pelromance index included both minimum energy and minimum h e optimization problems. The feedfoward command profiles wem generated by solving a discrete-time optimal control problem via Discrete Dynamic Programming (DDP). A simple planar two-link flexible robot m was utilized to demonstrate the DDP path-pl… Show more

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Cited by 13 publications
(19 citation statements)
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“…However, an exception is given by the [37,84,85] works, for which an extended model of a six-degrees-of-freedom anthropomorphic industrial manipulator is created, exploiting a model-based simulation tool. Indeed, the inverse approach has been adopted on a broad variety of systems with one degree of freedom-such as a liquid-crystal display glass-handling robot [43,44,46]; a toggle mechanism [45,47]; a precision positioning table [51][52][53]; a linear axis [57]; generic, one-degree-of-freedom systems [55,56,58]; and one-degree-of-freedom manipulators mounted on a flexible base [38,39]-with two degrees of freedom with rigid [49] and flexible links [59]; with three degrees of freedom, such as a redundant planar manipulator [40,54]; and with six degrees of freedom, such as an anthropomorphic industrial manipulator [41,42,48].…”
Section: Point-to-point Trajectory Optimizationmentioning
confidence: 99%
“…However, an exception is given by the [37,84,85] works, for which an extended model of a six-degrees-of-freedom anthropomorphic industrial manipulator is created, exploiting a model-based simulation tool. Indeed, the inverse approach has been adopted on a broad variety of systems with one degree of freedom-such as a liquid-crystal display glass-handling robot [43,44,46]; a toggle mechanism [45,47]; a precision positioning table [51][52][53]; a linear axis [57]; generic, one-degree-of-freedom systems [55,56,58]; and one-degree-of-freedom manipulators mounted on a flexible base [38,39]-with two degrees of freedom with rigid [49] and flexible links [59]; with three degrees of freedom, such as a redundant planar manipulator [40,54]; and with six degrees of freedom, such as an anthropomorphic industrial manipulator [41,42,48].…”
Section: Point-to-point Trajectory Optimizationmentioning
confidence: 99%
“…Optimal control can be used in both open loop and closed loop strategies. However, because of the off-line nature of the open loop optimal control problem, many difficulties like all types of constraints and system nonlinearities may be catered to so this method is a suitable approach for analyzing nonlinear systems such as path planning of the robotics arms [16][17][18][19][20]. This method is solved by direct and indirect approaches.…”
Section: Control Of Robotmentioning
confidence: 99%
“…Then, linear optimization [22], non-linear optimization [23], evolutionary [24] or classical stochastic techniques [25] are applied to obtain optimal values of the parameters. Hence, this technique usually leads to being time consuming and quite ineffective due to the large number of parameters involved [20,21,26]. The indirect method is characterized by a "first optimize, then discretize" strategy.…”
Section: Control Of Robotmentioning
confidence: 99%
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“…However, because of the off-line nature of the open loop optimal control in spite of the close-loop ones, many difficulties such as system nonlinearities and all types of constraints may be catered for and implemented easily, so it generally used in analyzing nonlinear systems such as trajectory optimization of different types of robots [7,8]. It solved by direct and indirect approaches.…”
Section: Introductionmentioning
confidence: 99%