Robotics & Machine Learning Daily News2024,Issue(Jun.28) :95-95.

New Findings Reported from Texas A&M University Describe Advances i n Robotics and Automation (Transfusion: a Practical and Effective Transformer-ba sed Diffusion Model for 3d Human Motion Prediction)

德克萨斯农工大学的最新发现描述了机器人技术和自动化技术的进步(输血:一种实用有效的基于变换的三维人体运动预测扩散模型)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :95-95.

New Findings Reported from Texas A&M University Describe Advances i n Robotics and Automation (Transfusion: a Practical and Effective Transformer-ba sed Diffusion Model for 3d Human Motion Prediction)

德克萨斯农工大学的最新发现描述了机器人技术和自动化技术的进步(输血:一种实用有效的基于变换的三维人体运动预测扩散模型)

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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记者从德克萨斯州Co Llege Station发来的消息,研究表明:“预测嗡嗡声的运动对于确保未来智能再制造系统中人-机器人安全有效地协作起着至关重要的作用。现有的工作可以分为两类:专注于准确性、预测单一未来运动的工作,以及基于预测结果产生不同预测的工作。”这项研究的财政支持来自国家科学基金会(NSF)。

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 originating from Co llege Station, Texas, by NewsRx correspondents, research stated, “Predicting hum an motion plays a crucial role in ensuring a safe and effective human-robot clos e collaboration in intelligent remanufacturing systems of the future. Existing w orks can be categorized into two groups: those focusing on accuracy, predicting a single future motion, and those generating diverse predictions based on observ ations.” Financial support for this research came from National Science Foundation (NSF).

Key words

College Station/Texas/United States/N orth and Central America/Robotics and Automation/Robotics/Texas A& M University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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