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  • 标题:Improving energy efficiency of a robotic system based on multiple analytical solutions for inverse kinematics
  • 本地全文:下载
  • 作者:Roman Iakovlev ; Roman Iakovlev ; Vladislav Sakuta
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:113
  • 页码:1-5
  • DOI:10.1051/matecconf/201711302002
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The paper presents the results of a study devoted to the problem of improving the energy efficiency of mechanical motion of anthropomorphic robotic systems. Achieving higher energy efficiency is largely due to the implementation of improvements directly in the algorithms that ensure the movement of a robotic system. For this purpose, several existing analytical methods for solving the inverse kinematics problem for robotic walking platforms were analyzed. According to the survey, key areas where modification can improve the energy efficiency of mechanical motion in various RS are identified. The paper discusses the algorithm developed to optimize the solutions of the inverse kinematics problem in terms of energy consumption.
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