复杂几何的运动规划与避碰

S. Cameron
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引用次数: 5

摘要

CAD和机器人仿真工具通常用于在设计阶段验证工作单元或过程:制作所涉及机械的几何模型,并检查模型的图片以查找潜在问题。然而,单靠眼睛往往很难发现所有可能的问题。许多系统提供某种形式的自动检查或自动路径生成,但在我们的经验中,这些很少被使用,因为它们要么太慢,要么太有限。为了解决这些问题,我们开发了一个名为OXSIM的模块化体系结构,用于开发路径规划程序。OXSIM明确地将几何能力问题从规划能力中分离出来,这样一来,在路径规划方面的新想法可以快速测试,而程序员无需担心几何,反过来,新的几何类型可以以一种干净的方式添加到现有的路径规划器中。大多数现有的实际路径规划方法都可以用这种方式写下来。OXSIM的初步结果令人鼓舞,我们现在正在一个大型工作细胞上进行测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion planning and collision avoidance with complex geometry
CAD and robot simulation tools are often used to verify a workcell or process at the design phase: a geometric model of the machinery involved is produced, and pictures of the model examined for potential problems. However it is often very difficult to spot all possible problems by eye alone. Many systems provide some form of automated checking or automated path generation, but in our experience these are rarely used as they are either too slow or too limited. In order to address these problems we have developed a modular architecture called OXSIM for developing path planning programs. OXSIM explicitly separates out issues of geometric competence from planning competence, so that new ideas in path planning can be quickly tested without a programmer worrying about geometry, and conversely new types of geometry can be added to an existing path planner in a clean way. Most of the existing practical path planning methodologies can be written down in this way. Initial results from OXSIM have been encouraging, and we are now proceeding to tests on a large workcell.
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