Robotics & Machine Learning Daily News2024,Issue(Jun.13) :74-75.

Czech Technical University Details Findings in Robotics and Automation (Globally Optimal Inverse Kinematics As a Non-convex Quadratically Constrained Quadratic Program)

捷克技术大学详细介绍了机器人和自动化的研究成果(全局最优逆运动学作为非凸二次约束二次规划)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :74-75.

Czech Technical University Details Findings in Robotics and Automation (Globally Optimal Inverse Kinematics As a Non-convex Quadratically Constrained Quadratic Program)

捷克技术大学详细介绍了机器人和自动化的研究成果(全局最优逆运动学作为非凸二次约束二次规划)

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摘要

机器人与机器学习每日新闻-机器人与自动化的最新研究结果已经发表。根据NewsRx记者在捷克共和国普拉格乌的新闻报道,研究表明,"我们展示了如何通过将问题表述为非凸二次约束二次规划来计算逆运动学的全局最优解。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - Ro botics and Automation have been published. According to news reporting from Prag ue, Czech Republic, by NewsRx journalists, research stated, “We show how to comp ute globally optimal solutions to inverse kinematics by formulating the problem as a non-convex quadratically constrained quadratic program.”

Key words

Prague/Czech Republic/Europe/Robotics and Automation/Robotics/Emerging Technologies/Inverse Kinematics/Machine Le arning/Czech Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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