Robotics & Machine Learning Daily News2024,Issue(Jun.13) :25-26.

Recent Findings from Concordia University Provides New Insights into Robotics (Degeneracy-aware Full-pose Path Planning Strategy for Robot Manipulator)

康科迪亚大学最近的发现为机器人学提供了新的见解(机器人机械手退化感知的全姿态路径规划策略)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :25-26.

Recent Findings from Concordia University Provides New Insights into Robotics (Degeneracy-aware Full-pose Path Planning Strategy for Robot Manipulator)

康科迪亚大学最近的发现为机器人学提供了新的见解(机器人机械手退化感知的全姿态路径规划策略)

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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NewsRx Ed Itors在加拿大蒙特利尔的新闻报道,研究人员指出:“本文提出了一种新的具有退化方向避免的机器人全姿态路径规划策略,试图定义一个有效的多目标代价函数,通过最小化路径长度,同时使路径退化方向的一致性最大。”

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 reporting out of Montreal, Canada, by NewsRx ed itors, research stated, “In this article, we present a novel full-pose path plan ning strategy with degenerate direction avoidance for robot manipulators. Effort seeks to define an efficient multiobjective cost function for finding an optima l path in task space by minimizing the path length, and, meanwhile, maximizing o rthogonality to the degenerate direction of the path.”

Key words

Montreal/Canada/North and Central Amer ica/Emerging Technologies/Machine Learning/Robot/Robotics/Concordia University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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