Robotics & Machine Learning Daily News2024,Issue(Jun.28) :120-120.

Study Results from Nanjing University of Science and Technology Provide New Insi ghts into Robotics (Three-dimensional Variable Center of Mass Height Biped Walki ng Using a New Model and Nonlinear Model Predictive Control)

南京科技大学的研究成果为机器人学(采用新模型和非线性模型预测控制的三维变质心高度双足步行机器人)提供了新的思路

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :120-120.

Study Results from Nanjing University of Science and Technology Provide New Insi ghts into Robotics (Three-dimensional Variable Center of Mass Height Biped Walki ng Using a New Model and Nonlinear Model Predictive Control)

南京科技大学的研究成果为机器人学(采用新模型和非线性模型预测控制的三维变质心高度双足步行机器人)提供了新的思路

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的研究发现被用在一份新的报告中。根据NewsRx记者在中国人民共和国南京的新闻报道,研究表明:“本文提出了一种三维(3D)双足机器人轨迹生成算法,该算法可根据环境调整重心为(CoM),采用一种支持垂直运动和旋转的文章摘要动作模型。”新闻记者引用南京科技大学的一篇研究文章:“与传统的抽象模型不同,他提出的全质心动力学倒立摆模型充分考虑了机器人的运动和转动,与零力矩点(ZMP)不同,我们还提出了一种新的附加稳定性准则。”其次,设计了非线性模型预测控制,产生CoM轨迹、躯干旋转角度和自适应脚点来诱导不同的双足步态。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Nanjing, People’s Republ ic of China, by NewsRx journalists, research stated, “This paper presents a traj ectory generation algorithm for a three-dimensional (3D) biped robot that can ad just the center of mass (CoM) according to the environment. We adopt a new abstr act model that supports vertical motion and rotation.” The news correspondents obtained a quote from the research from the Nanjing Univ ersity of Science and Technology, “Differing from traditional abstract models, t he proposed full centroid dynamics inverted pendulum model fully considers the r obot’s movement and rotation. Unlike the zero moment point (ZMP), which only ens ures the feet do not flip over, we also propose a new additional stability crite rion, named zero frictional moment point (ZFMP), guaranteeing no yaw rotation wh ile walking. Next, a nonlinear model predictive control is designed to generate the CoM trajectory, torso rotational angle, and adaptive footholds to induce var ious biped gaits.”

Key words

Nanjing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Nanjing 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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