Robotics & Machine Learning Daily News2024,Issue(Dec.6) :103-104.

Data from University of Malaga Provide New Insights into Machine Learning (Low C omputational Cost for Multiple Waypoints Trajectory Planning: a Time-optimal-bas ed Approach)

马拉加大学的数据为机器学习提供了新的见解(多路径点轨迹规划的低计算成本:基于时间优化的方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :103-104.

Data from University of Malaga Provide New Insights into Machine Learning (Low C omputational Cost for Multiple Waypoints Trajectory Planning: a Time-optimal-bas ed Approach)

马拉加大学的数据为机器学习提供了新的见解(多路径点轨迹规划的低计算成本:基于时间优化的方法)

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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-机器学习的新研究是一篇报道的主题。据新闻报道来自西班牙马拉加的Rx新闻记者,研究称,“在移动通信领域”机器人,在执行轨迹时实现最短的时间对于交付、检查、搜索和救援等应用至关重要。本文提出了一种基于优化方法的时间最优规划器介绍。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Malaga, Spain, by News Rx correspondents, research stated, “In the field of mobilerobots, achieving mi nimum time in executing trajectories is crucial for applications like delivery, inspection, and search and rescue. In this article, a novel time-optimal planner based on optimization methods isintroduced.”

Key words

Malaga/Spain/Europe/Machine Learning/University of Malaga

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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