Robotics & Machine Learning Daily News2024,Issue(Jul.4) :78-78.

Investigators from University of Adelaide Have Reported New Data on Robotics and Automation (Mexgen: an Effective and Efficient Information Gain Approximation for Information Gathering Path Planning)

阿德莱德大学的研究人员报告了机器人和自动化方面的新数据(Mexgen:信息收集路径规划的有效和高效信息增益近似)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :78-78.

Investigators from University of Adelaide Have Reported New Data on Robotics and Automation (Mexgen: an Effective and Efficient Information Gain Approximation for Information Gathering Path Planning)

阿德莱德大学的研究人员报告了机器人和自动化方面的新数据(Mexgen:信息收集路径规划的有效和高效信息增益近似)

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摘要

由一名新闻记者-机器人与机器学习每日新闻编辑-研究人员详细介绍了机器人S-机器人和自动化的新数据。根据NewsRx记者从澳大利亚阿德莱德发回的新闻报道,研究表明:“自动机器人收集感兴趣对象的信息,因为它们提高了效率、性能和安全性,在现实世界中有许多应用。实现智能需要在线规划算法来解决不确定情况下的顺序决策问题;因为感兴趣对象往往是动态的,对象状态是动态的,如位置不是直接观察到的,而是从噪声测量中获得的。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting originating from Adelai de, Australia, by NewsRx correspondents, research stated, “Autonomous robots for gathering information on objects of interest has numerous real-world applicatio ns because of they improve efficiency, performance and safety. Realising autonom y demands online planning algorithms to solve sequential decision making problem s under uncertainty; because, objects of interest are often dynamic, object stat e, such as location is not directly observable and are obtained from noisy measu rements.”

Key words

Adelaide/Australia/Australia and New Z ealand/Robotics and Automation/Robotics/University of Adelaide

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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