Robotics & Machine Learning Daily News2024,Issue(Jun.7) :30-31.

Beijing Institute of Technology Researcher Releases New Data on Robotics (Foot-E nd Global Trajectory Planning via GCN-Based Heuristic Tree Search for Crossing O bstacles)

北京理工学院研究员发布机器人新数据(基于GCN的启发式树搜索的Foot-E和全球轨迹规划)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :30-31.

Beijing Institute of Technology Researcher Releases New Data on Robotics (Foot-E nd Global Trajectory Planning via GCN-Based Heuristic Tree Search for Crossing O bstacles)

北京理工学院研究员发布机器人新数据(基于GCN的启发式树搜索的Foot-E和全球轨迹规划)

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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-机器人的最新数据在一份新的报告中呈现。根据NewsRx编辑在中国北京发布的新闻报道,研究表明,“实现多机器人在复杂地形上的平滑运动是一个重要的研究焦点。当遇到高障碍物时,机器人往往需要改变运动方向以避开它们,增加运动轨迹的冗余度。”本研究的资金来源包括国家重点研究开发项目、国家自然科学基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Achieving smooth motion for multi-l egged robots on complex terrains is a significant focus of research. When encoun tering high obstacles, robots often need to alter their motion direction to avoi d them, increasing redundancy in their motion trajectories.” Financial supporters for this research include National Key Research And Develop ment Program of China; National Natural Science Foundation of China.

Key words

Beijing Institute of Technology/Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nan o-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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