2009
DOI: 10.1016/j.rcim.2007.04.004
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Development of a configuration space motion planner for robot in dynamic environment

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Cited by 17 publications
(5 citation statements)
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“…Four levels are selected for each parameter. The proposed set of experiments, according to the Taguchi method, is given in L' 16 In order for both the target position and orientation of the end effector to be approached, the best results (lowest computing time) are given for DH ¼3, MNA ¼25 and SR ¼2.…”
Section: Taguchi Design Of Experimentsmentioning
confidence: 99%
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“…Four levels are selected for each parameter. The proposed set of experiments, according to the Taguchi method, is given in L' 16 In order for both the target position and orientation of the end effector to be approached, the best results (lowest computing time) are given for DH ¼3, MNA ¼25 and SR ¼2.…”
Section: Taguchi Design Of Experimentsmentioning
confidence: 99%
“…An on-line robot motion planning approach that is based upon pre-computing the global configuration space (C-space) connectivity is proposed. In [16], the motion planner consists of an off-line stage and an on-line stage and the collision-free path is searched in this C-space by using the A * algorithm under a multi-resolution strategy.…”
Section: Introductionmentioning
confidence: 99%
“…However, the main shortcoming is that this method cannot fully describe the obstacle information in the environment. In Wu et al, 22 a highdimensional grid model was used to model the known static obstacles, and the potential field method was adopted to process the unmodeled dynamic obstacles for the manipulator trajectory planning. Flacco Fabrizio 23 proposed a method based on depth space offline mapping to divide depth space into depth grids.…”
Section: Introductionmentioning
confidence: 99%
“…To autonomously drive in different environment, specific terrain description can effectively enhance robot shifting availability. The hierarchical data structure [ 12 ] identified and stored obstacle cells as non-uniform trees, which is crucial before planning. The surface normals [ 13 ] on robot-centric elevation map are employed to select feasible footholds, organizing collision-free trajectories for swing feet.…”
Section: Introductionmentioning
confidence: 99%