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Force control heuristics for surpassing pose uncertainty in mobile robotic assembly platforms

机译:用于移动机器人装配平台的超越姿态不确定性的力量控制启发式

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This paper presents a collaborative mobile manipulator assembly station, which uses force control to surpass the positional uncertainties arising from unstructured work environments and positional errors of the mobile platform. For this purpose, the use case of an internal combustion engine for the automotive industry was considered. Several force control heuristics relying on blind searches using oscillations and/or environment exploration were developed and implemented. Particular attention was given to the orientation errors of the mobile platform, as it was proved that they have a significant impact on the assembly task. The proposed heuristics showed great potential for the use case at hand. Particularly, when the orientation error of the platform is limited to ±2°, the oscillation method complemented by environment exploration was able to surpass a maximum translation error of 32.3mm, whereas the environment exploration complemented by orientation correction was able to surpass an error of 73.3mm. Moreover, a generalization strategy was proposed, intending to expand the scope of the developed heuristics to other assembly applications.
机译:本文介绍了一个协作的移动机械手机组件,它使用力控制超过移动平台的非结构化工作环境和位置误差所产生的位置不确定性。为此目的,考虑了汽车工业内燃机的用例。开发并实施了几个依赖盲目搜索的力量控制启发式搜索和实施和实施。特别注意移动平台的方向误差,因为证明它们对装​​配任务产生了重大影响。拟议的启发式对手掌的潜力巨大潜力。特别地,当平台的方向误差限制为±2°时,由环境探索补充的振荡方法能够超过32.3mm的最大转换误差,而通过方向校正辅以的环境探索能够超越错误73.3毫米。此外,提出了泛化策略,打算将发达的启发式的范围扩展到其他装配申请。

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