Robotics & Machine Learning Daily News2024,Issue(Jul.1) :13-14.

Study Findings from Xi'an Jiaotong University Broaden Understanding of Robotics (Robust Geometry Self-calibration Based On Differential Kinematics for a Redunda nt Robotic Inspection System)

西安交通大学的研究结果拓宽了机器人学的理解(冗余机器人检测系统基于微分运动学的鲁棒几何自标定)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :13-14.

Study Findings from Xi'an Jiaotong University Broaden Understanding of Robotics (Robust Geometry Self-calibration Based On Differential Kinematics for a Redunda nt Robotic Inspection System)

西安交通大学的研究结果拓宽了机器人学的理解(冗余机器人检测系统基于微分运动学的鲁棒几何自标定)

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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的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx记者在中国西安的新闻报道,研究表明:“工业测量越来越多地采用带有外部转台的冗余机器人系统,因为它的效率、灵活性和自动化优势,但由于定位误差,机器人系统达到的实际视点偏离了模拟设计姿态,导致复杂表面的测量质量较差。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating in Xi’an, People’s Republic of C hina, by NewsRx journalists, research stated, “Industrial measurements increasin gly employ a redundant robotic system with an external turntable due to its effi ciency, flexibility, and automation advantages. However, the actual viewpoint po se reached by the robotic system deviates from its simulated design pose due to orientation errors, resulting in poor measurement quality of complex surfaces.”

Key words

Xi'an/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Xi'an Jiaotong Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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