Robotics & Machine Learning Daily News2024,Issue(Dec.3) :20-20.

Recent Findings from Massachusetts Institute of Technology Provides New Insights into Robotics and Automation (Long-term Human Trajectory Prediction Using 3d Dy namic Scene Graphs)

麻省理工学院最近的发现为机器人和自动化(使用三维动态场景图进行长期人类轨迹预测)提供了新的见解

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :20-20.

Recent Findings from Massachusetts Institute of Technology Provides New Insights into Robotics and Automation (Long-term Human Trajectory Prediction Using 3d Dy namic Scene Graphs)

麻省理工学院最近的发现为机器人和自动化(使用三维动态场景图进行长期人类轨迹预测)提供了新的见解

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的研究发现-机器人CS和自动化在一份新的报告中讨论。据NewsRx记者从马萨诸塞州剑桥发回的新闻报道,研究状态D,“我们提出了一种新的方法,用于在INDOOR中长期预测人类轨迹。”以人为中心的环境是长视野机器人在这些环境中规划的必要条件。当前的人体轨迹预测方法因其对避碰和碰撞的关注而受到限制短期规划,以及无法模拟人类与环境的复杂互动。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a new report.According to news reporting ori ginating from Cambridge, Massachusetts, by NewsRx correspondents,research state d, “We present a novel approach for long-term human trajectory prediction in ind oorhuman-centric environments, which is essential for long-horizon robot planni ng in these environments.State-of-the-art human trajectory prediction methods a re limited by their focus on collision avoidance andshort-term planning, and th eir inability to model complex interactions of humans with the environment.”

Key words

Cambridge/Massachusetts/United States/North and Central America/Robotics and Automation/Robotics/Massachusetts Ins titute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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