Robotics & Machine Learning Daily News2024,Issue(Nov.12) :27-28.

New Machine Learning Findings from University of Science and Technology Beijing Published (Review of autonomous path planning for planetary rovers)

北京科技大学机器学习新成果发表(行星漫游车自主路径规划综述)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :27-28.

New Machine Learning Findings from University of Science and Technology Beijing Published (Review of autonomous path planning for planetary rovers)

北京科技大学机器学习新成果发表(行星漫游车自主路径规划综述)

扫码查看

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新闻调查人员发表关于人工智能的新报道.根据来自中华人民共和国北京,NewsRx记者,研究称,"自主路径规划"代表了使行星漫游者能够在火星上进行探测的基础技术地外行星。这项技术有助于行星漫游者安全有效地航行朝着他们的任务目标。然而,地外行星环境的特殊条件构成自主路径规划与地面移动路径规划的比较机器人。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on artificial in telligence. According to news reporting fromBeijing, People’s Republic of China , by NewsRx journalists, research stated, “Autonomous path planningrepresents a cornerstone technology for enabling planetary rovers to carry out exploration m issions onextraterrestrial planets. This technology facilitates planetary rover s in navigating safely and efficientlytoward their mission goal. However, the s pecial conditions of extraterrestrial planetary environments posesignificant ch allenges for autonomous path planning compared with those faced by ground-based mobilerobots.”

Key words

University of Science and Technology Bei jing/Beijing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging T echnologies/Machine Learning/Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文