TFGait—Stable and Efficient Adaptive Gait Planning With Terrain Recognition and Froude Number for Quadruped Robot

IF 5.9 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Automation Science and Engineering Pub Date : 2024-11-25 DOI:10.1109/tase.2024.3503277

Aocheng Luo, Qifeng Wan, Yan Meng, Shihan Kong, Wanchao Chi, Chong Zhang, Shenghao Zhang, Yuzhen Liu, Qiuguo Zhu, Junzhi Yu

引用次数: 0

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TFGait--利用地形识别和弗劳德数为四足机器人制定稳定高效的自适应步态规划

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统

CiteScore

12.50

自引率

14.30%

发文量

404

审稿时长

3.0 months

期刊介绍： The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.