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Collision free path planning based on region clipping for aircraft fuel tank inspection robot

机译:基于区域裁剪的飞机油箱检查机器人无碰撞路径规划

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Continuum robot has potential to run freely through a cluttered environment as aircraft fuel tank. To improve manual maintenance, we designed an aircraft fuel tank inspection robot which was composed of cable-driven sections. A suitable path is essential for the robot to reach the target zone while avoiding obstacles, but path planning for continuum robot is a challenge due to their complex kinematics models. To depict the collision free planning problem, a nonlinear, constrained optimization formulation was adopted. Projection strategy was presented and an imaginary straight line between the origin and the target was made up as a reference line to simplify the planning problem. We focused on the decrease of computing time complexity, and based on region clipping, a novel forward search method was proposed to solve this optimization-based planning problem. With the reference straight line, the minimum distance summation (MDS) was calculated to decide the optimal path relatively. Experiments on MATLAB were reasonably designed. Simulations and results analysis demonstrated excellent performance of region clipping search method and feasibility of the avoidance algorithm.
机译:Continuum机器人有潜力在杂乱的环境中自由运行,就像飞机的燃油箱一样。为了改善人工维护,我们设计了一个由电缆驱动部分组成的飞机油箱检查机器人。合适的路径对于机器人在避开障碍物时到达目标区域至关重要,但是由于其复杂的运动学模型,连续体机器人的路径规划是一个挑战。为了描述无碰撞计划问题,采用了非线性约束优化公式。提出了投影策略,并在原点和目标之间建立了一条假想的直线作为参考线,以简化规划问题。我们着重于减少计算时间的复杂性,并基于区域裁剪,提出了一种新颖的前向搜索方法来解决基于优化的规划问题。使用参考直线,计算最小距离总和(MDS)相对地确定最佳路径。对MATLAB的实验进行了合理的设计。仿真和结果分析证明了区域裁剪搜索方法的优良性能和避免算法的可行性。

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