Robotics & Machine Learning Daily News2024,Issue(Nov.21) :54-54.

Researchers from University of Toulouse Detail Findings in Robotics (Robust Moti on Planning With Accuracy Optimization Based On Learned Sensitivity Metrics)

图卢兹大学的研究人员详细介绍了机器人学的发现的精度优化规划的鲁棒Moti(Robust Moti)学习灵敏度指标

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :54-54.

Researchers from University of Toulouse Detail Findings in Robotics (Robust Moti on Planning With Accuracy Optimization Based On Learned Sensitivity Metrics)

图卢兹大学的研究人员详细介绍了机器人学的发现的精度优化规划的鲁棒Moti(Robust Moti)学习灵敏度指标

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员在机器人S中详细介绍了新的数据。法国,NewsRx编辑,Resea Rch说,“这封信解决了生成健壮和可靠的机器人动力学模型中考虑不确定性的精确轨迹。以概念为基础闭环灵敏度的定义,它量化任何机器人/控制器的c闭环轨迹中的偏差针对机器人模型参数的不确定性,可以导出有界机器人模型参数的不确定性管参数变化。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting out of Toulouse,France, by NewsRx editors, resea rch stated, “This letter addresses the problem of generating robust andaccurate trajectories taking into account uncertainties in the robot dynamic model. Base d on the notionof closed-loop sensitivity, which quantifies deviations in the c losed-loop trajectories of any robot/controllerpair against uncertainties in th e robot model parameters, uncertainty tubes can be derived for boundedparameter variations.”

Key words

Toulouse/France/Europe/Emerging Techn ologies/Machine Learning/Robot/Robotics/University of Toulouse

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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