Real-time model-based obstacle detection for the NASA Ranger Telerobot

B. Bon, H. Seraji
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引用次数: 16

Abstract

This paper describes the approach and algorithms developed for real-time model-based obstacle detection and distance computation for the NASA Ranger Telerobotic Flight Experiment. Objects of interest, such as manipulator arms or the ranger vehicle and solar arrays, are modeled using a small set of component types: edges, polygonal faces and cylindrical links. Link positions are computed using standard forward kinematics, and distances between object components are computed directly using equations derived from geometry. Prioritized lists of potential obstacles for each manipulator link eliminate needless distance computations and assure that the most likely obstacles are checked, even if the computation is terminated early due to real-time constraints. A test program, utilizing a 3D graphical simulation and providing a graphical user interface for operator control, has been developed and used to test and demonstrate obstacle detection. An earlier paper (1996) described how the obstacle detection results are utilized for collision avoidance.
NASA Ranger远程机器人基于实时模型的障碍物检测
本文描述了为NASA Ranger远程机器人飞行实验开发的基于实时模型的障碍物检测和距离计算的方法和算法。感兴趣的对象,如机械臂或游侠车辆和太阳能阵列,使用一小组组件类型建模:边缘,多边形面和圆柱形链接。连杆位置使用标准正运动学计算,物体组件之间的距离使用从几何导出的方程直接计算。每个机械手链路的潜在障碍物的优先级列表消除了不必要的距离计算,并确保检查最可能的障碍物,即使由于实时约束而提前终止计算。开发了一个测试程序,利用3D图形模拟并为操作员控制提供图形用户界面,用于测试和演示障碍物检测。早前的一篇论文(1996)描述了如何利用障碍物检测结果来避免碰撞。
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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