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Cloud-Based Grasp Analysis and Planning for Toleranced Parts Using Parallelized Monte Carlo Sampling

机译：基于云的掌握分析和规划，用于使用并行蒙特卡罗采样的公差零件

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Ben Kehoe; Deepak Warrier; Sachin Patil; Ken Goldberg;
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年度 2015
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1. Cloud-Based Grasp Analysis and Planning for Toleranced Parts Using Parallelized Monte Carlo Sampling [J] . Kehoe Ben, Warrier Deepak, Patil Sachin, Automation Science and Engineering, IEEE Transactions on . 2015,第2期

机译：使用并行蒙特卡洛采样基于云的公差分析和公差零件的计划
2. Estimating statistical uncertainty of Monte Carlo efficiency-gain in the context of a correlated sampling Monte Carlo code for brachytherapy treatment planning with non-normal dose distribution. [J] . Mukhopadhyay ND, Sampson AJ, Deniz D, Applied radiation and isotopes: including data, instrumentation and methods for use in agriculture, industry and medicine . 2012,第1期

机译：在具有非正态剂量分布的近距离放射治疗规划的相关采样蒙特卡洛代码的背景下，估计蒙特卡洛效率增益的统计不确定性。
3. A quasi-Monte Carlo statistical three-dimensional tolerance analysis method of products based on edge sampling [J] . Chuanyuan Zhou, Zhenyu Liu, Chan Qiu, Assembly Automation . 2021,第4期

机译：基于边缘采样的产品的拟蒙特卡罗统计三维公差分析方法
4. Estimating part tolerance bounds based on adaptive Cloud-based grasp planning with slip [C] . Kehoe Ben, Berenson Dmitry, Goldberg Ken 2012 IEEE International Conference on Automation Science and Engineering. . 2012

机译：基于带有滑动的基于云的自适应抓取计划估计零件公差范围
5. Manufacturing error analysis and Monte Carlo simulation for proactive tolerance control in process planning. [D] . Liu, Qiu. 2003

机译：制造误差分析和蒙特卡洛模拟，用于过程规划中的主动公差控制。
6. Estimating statistical uncertainty of Monte Carlo efficiency-gain in the context of a correlated sampling Monte Carlo code for brachytherapy treatment planning with non-normal dose distribution [O] . Nitai D Mukhopadhyay, Andrew J Sampson, Daniel Deniz, -1

机译：在非正常剂量分布的相关采样蒙特卡罗代码中估算Monte Carlo效率的统计不确定性
7. Estimating Part Tolerance Bounds Based on Adaptive Cloud-Based Grasp Planning with Slip [O] . Ben Kehoe, Dmitry Berenson, Ken Goldberg 2012

机译：基于自适应云的带滑块的抓点规划估计零件公差界

Cloud-Based Grasp Analysis and Planning for Toleranced Parts Using Parallelized Monte Carlo Sampling

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