Robotics & Machine Learning Daily News2024,Issue(Jul.1) :54-54.

New Robotics Data Have Been Reported by Researchers at University of California Berkeley (Fast In-hand Slip Control On Unfeatured Objects With Programmable Tact ile Sensing)

加州大学伯克利分校的研究人员报告了新的机器人学数据(利用可编程的机智传感对无特征物体进行快速手滑控制)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :54-54.

New Robotics Data Have Been Reported by Researchers at University of California Berkeley (Fast In-hand Slip Control On Unfeatured Objects With Programmable Tact ile Sensing)

加州大学伯克利分校的研究人员报告了新的机器人学数据(利用可编程的机智传感对无特征物体进行快速手滑控制)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsR X记者从加州伯克利发回的新闻报道,研究表明:“机器人手的精确动态物体操纵仍然是一项艰巨的任务,特别是当涉及摩擦滑动时。先前的解决方案涉及大量数据收集,以训练复杂的模型来控制不一定适用于其他滑动情况的手。”这项研究的财政资助来自香港特别行政区政府的InnoHK。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news originating from Berkeley, California, by NewsR x correspondents, research stated, “Accurate dynamic object manipulation in a ro botic hand remains a difficult task, especially when frictional slip is involved . Prior solutions involve extensive data collection to train complex models to c ontrol the hand that do not necessarily generalize to other slip circumstances.” Financial support for this research came from InnoHK of the Government of the Ho ng Kong Special Administrative Region.

Key words

Berkeley/California/United States/Nor th and Central America/Emerging Technologies/Machine Learning/Robotics/Robot s/University of California Berkeley

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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