Robotics & Machine Learning Daily News2024,Issue(Dec.13) :56-57.

Hebei University of Science and Technology Researchers Have Published New Data o n Robotics (Real-time optimized inverse kinematics of redundant robots under ine quality constraints)

Robotics & Machine Learning Daily News2024,Issue(Dec.13) :56-57.

Hebei University of Science and Technology Researchers Have Published New Data o n Robotics (Real-time optimized inverse kinematics of redundant robots under ine quality constraints)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting out ofHebei University of Science and Tec hnology by NewsRx editors, research stated, “Inverse kinematics ofredundant rob ots presents a challenging problem for real-time applications due to the lack of uniquenessof solution and the low computational efficiency caused by redundanc y and hard limits.”Funders for this research include Scientific Research Projects of Higher Educati on Institutions in HebeiProvince.

Key words

Hebei University of Science and Technolo gy/Emerging Technologies/Inverse Kinematics/Machine Learning/Nano-robot/Rob otics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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