Gradient-free navigation of a nonholonomic robot for tracking unsteady environmental boundaries in 3D

A. Matveev, A. Semakova
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引用次数: 3

Abstract

An underactuated nonholonomic robot with a bounded control input travels with a constant speed in a 3D workspace. An unknown time variant scalar field is defined on this workspace. The robot should detect, locate, and densely sweep a moving and deforming 2D isosurface (level set), which is the locus of points where the field takes a given value. The sensory data consist of the value of the field at the current location, robot’s coordinate along a certain (typically, vertical) space direction, and the orientation of this direction relative to the robot. We offer a new navigation law under which the robot reaches the targeted isosurface from an occasional initial location and then scans the part of this surface in between two given “altitudes”. This law does not rely on estimation of the field gradient and is undemanding in terms of motion and computation. Its convergence is demonstrated by a mathematically rigorous result and computer simulation tests.
非完整机器人三维非定常边界跟踪的无梯度导航
具有有界控制输入的欠驱动非完整机器人在三维工作空间中以恒定速度运动。在此工作空间上定义了未知时变标量域。机器人需要检测、定位和密集扫描一个移动和变形的二维等值面(水平集),这是场取给定值的点的轨迹。感知数据包括当前位置的场值、机器人沿着某一空间方向(通常为垂直)的坐标以及该方向相对于机器人的方向。我们提供了一种新的导航法则,在这种法则下,机器人从一个偶然的初始位置到达目标等值面,然后扫描这个表面在两个给定“高度”之间的部分。该定律不依赖于场梯度的估计,在运动和计算方面要求不高。通过数学严谨的计算结果和计算机仿真试验证明了其收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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