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Robotic Assembly Planning of Tensegrity Structures

机译:张力结构的机器人装配计划

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Tensegrity structures provide durability and stability with minimal weight. Thanks to these properties, use of tensegrity structures for space applications is becoming an active research area. One of the main challenges is the automated construction of these structures. In this work, we present a framework for the automated assembly planning of tensegrity structures using an industrial robot equipped with a purpose-specific end-effector. We leverage the recent advances in sampling-based motion planning to create the motion strategies. Specifically, we divided the assembly planning problem into three stages. In the first stage, the initial position and orientation of the given tensegrity structure with respect to the assembly robot is determined using a motion-planning integrated forward elimination search. In the second stage, a feasible assembly sequence of the strings is found using backward disassembly search. Lastly, the individual robot motion plans for attaching each string to the bars for the given tensegrity configuration is generated using RRT*. The efficacy of the framework was demonstrated using an extensive set of simulation experiments dealing with the assembly of a three-strut and nine-string tensegrity prism structure, which can be utilized as a building block of complex tensegrities.
机译:张力结构以最小的重量提供耐用性和稳定性。由于这些特性,将张力结构用于空间应用正成为一个活跃的研究领域。主要挑战之一是这些结构的自动化构造。在这项工作中,我们提出了一个使用配备有特定目的执行器的工业机器人对张力结构进行自动组装计划的框架。我们利用基于采样的运动计划中的最新进展来创建运动策略。具体来说,我们将装配计划问题分为三个阶段。在第一阶段,使用运动计划集成的前向消除搜索确定给定张力结构相对于组装机器人的初始位置和方向。在第二阶段,使用反向分解搜索找到可行的字符串组装顺序。最后,使用RRT *生成用于将给定张力配置将每个琴弦连接到条的单个机器人运动计划。框架的有效性通过广泛的模拟实验证明,该实验涉及三支柱和九弦张力棱镜结构的组装,可将其用作复杂张力的构建基块。

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