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Dynamic Velocity Field Angle Generation for Obstacle Avoidance in Mobile Robots Using Hydrodynamics

机译:使用流体动力学移动机器人避免障碍物的动态速度场角度

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In this work, a strategy for the generation of the angle reference for a Velocity Field Controller is presented. For an arbitrary trajectory given in its parametric form, it is possible to create a desired velocity field, that could be modified if obstacles were detected by an artificial vision system. Velocity fields are composed by vectors that can be expressed in polar form, i.e. V{sub}x = |V|·cos(α) and V{sub}y = |V|·sin(α). In the velocity field generation technique proposed, the problem is divided into two separate problems: the calculation of the orientation angle αand the calculation of the linear velocity |V|. This paper addresses the calculation of α, using the hydrodynamics theory of an incompressible non-viscous fluid, plus the use of conformal mapping, thus generating a trajectory vector field that can evade obstacles. Results obtained show that a smooth and continuous field for both open and closed trajectories is achieved.
机译:在这项工作中,提出了一种用于生成速度场控制器的角度参考的策略。对于以其参数形式给出的任意轨迹,如果通过人工视觉系统检测到障碍物,可以创建所需的速度场。速度场由载体组成,该载体可以以极性形式表示,即V {sub} x = | V |·cos(α)和v {sub} Y = | V |·SIN(α)。在提出的速度场生成技术中,问题分为两个单独的问题:取向角α的计算和线性速度的计算。本文解决了使用不可压缩的非粘性流体的流体动力学理论的α的计算,以及使用保形映射,从而产生可以逃避障碍物的轨迹矢量场。得到的结果表明,实现了开放和闭合轨迹的平滑和连续场。

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