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A comparative study of smooth path planning for a mobile robot considering kinematic constraints

机译:考虑运动学约束的移动机器人平滑路径规划的比较研究

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In this study, a smooth path planning approach is proposed and compared to path smoothing for an autonomous mobile robot. Classical start-goal oriented path planning algorithms find paths that do not consider robot kinematic constraints. These paths may have sharp turns at some intersections. When mobile robot follows such a path, it stops, reorients the wheels and speeds up again. So the robots waste much power and time. In these cases, path smoothing can be used to minimize sharp turns. But, it may result unnecessarily long paths. A concurrent path planning and smoothing is proposed for mobile robots with kinematic constraints. Experiments are conducted to show the effectiveness of the proposed approach.
机译:在这项研究中,提出了一种平滑的路径规划方法,并将其与自主移动机器人的路径平滑进行了比较。经典的面向目标的路径规划算法会找到不考虑机器人运动学约束的路径。这些路径在某些交叉点可能会急转弯。当移动机器人沿着这样的路径行驶时,它将停止,重新定位车轮并再次加速。因此,机器人浪费了大量的精力和时间。在这些情况下,可以使用路径平滑来最大程度地减少急转弯。但是,这可能会导致不必要的漫长路程。提出了针对运动学约束的移动机器人的并发路径规划和平滑方法。实验表明该方法的有效性。

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