Robotics & Machine Learning Daily News2024,Issue(Dec.2) :121-122.

Recent Research from Hong Kong University of Science and Technology Highlight Fi ndings in Robotics (Collision-free Trajectory Optimization In Cluttered Environm ents Using Sums-of-squares Programming)

香港科技大学最近的研究突出了机器人技术的新进展(在混乱环境中使用平方和编程实现无碰撞轨迹优化)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :121-122.

Recent Research from Hong Kong University of Science and Technology Highlight Fi ndings in Robotics (Collision-free Trajectory Optimization In Cluttered Environm ents Using Sums-of-squares Programming)

香港科技大学最近的研究突出了机器人技术的新进展(在混乱环境中使用平方和编程实现无碰撞轨迹优化)

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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-机器人的新研究是一篇报道的结尾。根据新闻报道由NewsRx记者发起的中国人民日报广州的研究称,“在本文中,”提出了一种适用于复杂三维环境下机器人导航的轨迹优化方法。我们将机器人的几何表示为由多项式不等式定义的半代数集,这样具有一般形状的机器人可以适当地改装。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subjec t of a report. According to news reportingoriginating in Guangzhou, People’s Re public of China, by NewsRx journalists, research stated, “In thiswork, we propo se a trajectory optimization approach for robot navigation in cluttered 3D envir onments.We represent the robot’s geometry as a semialgebraic set defined by pol ynomial inequalities such thatrobots with general shapes can be suitably charac terized.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Hong Kong University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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