Robotics & Machine Learning Daily News2024,Issue(Jun.27) :128-129.

Reports Summarize Robotics and Automation Findings from Massachusetts Institute of Technology (3d Hopping In Discontinuous Terrain Using Impulse Planning With M ixed-integer Strategies)

报告总结了麻省理工学院的机器人技术和自动化研究成果(在不连续地形中使用M个混合整数策略的脉冲规划进行三维跳跃)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :128-129.

Reports Summarize Robotics and Automation Findings from Massachusetts Institute of Technology (3d Hopping In Discontinuous Terrain Using Impulse Planning With M ixed-integer Strategies)

报告总结了麻省理工学院的机器人技术和自动化研究成果(在不连续地形中使用M个混合整数策略的脉冲规划进行三维跳跃)

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摘要

机器人和机器学习的新闻编辑每日新闻-机器人的新研究-机器人和D自动化是一篇报道的主题。根据NewsRx记者在马萨诸塞州坎布里·里奇的新闻报道,研究表明,“随着四足机器人在平地上的运动越来越成熟,下一个挑战涉及到使这些系统能够在杂乱或不连续的地形中仔细选择触点。为了实现这一目标,本文提出了一种在杂乱中动态跳跃的运动生成方法。”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 – New research on Robotics - Robotics an d Automation is the subject of a report. According to news reporting from Cambri dge, Massachusetts, by NewsRx journalists, research stated, “As quadruped contro llers approach greater maturity for locomotion on level ground, a next challenge relates to enabling these systems to carefully choose contacts in cluttered or discontinuous terrain. In pursuit of this goal, this letter proposes an approach to motion generation for dynamic hopping in clutter.” Financial support for this research came from National Science Foundation (NSF).

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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