Analysis of Swarm Robotics Cooperative Control Strategy from the Patent Perspective

Xiaofen Fang, Haoran Xu, Bei Chen, Kunli Fang, Guohua Li, Zhijun Mao, Lei Zheng, Jianfu Jiang
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Abstract

This paper aims to explore the swarm robotics cooperative control strategy development status and predict the future development trend. Taking swarm robotics cooperative control strategy as the research object, the research method of patent analysis is applied to study patent portfolio strategy from data analysis of the technology development trend, regional distribution, applicant distribution, high value patent. Through visual diagram to show innovation and research and development situation in this field. The results indicated that China got the maximum number of applications and the United States got the second. The number of high-value patents is relatively small, and the patent portfolio strategy needs to be further improved. This paper predicts that the future development direction of this technology mainly focuses on two technical directions: swarm intelligence and self-organizing collaborative strategy.
基于专利视角的群体机器人协同控制策略分析
本文旨在探讨群体机器人协同控制策略的发展现状,并预测未来的发展趋势。以群体机器人协同控制策略为研究对象,应用专利分析的研究方法,从技术发展趋势、区域分布、申请人分布、高价值专利等数据分析入手,研究专利组合策略。通过可视化的图表展示了该领域的创新和研发情况。结果表明,中国的申请数量最多,美国次之。高价值专利数量相对较少,专利组合策略有待进一步完善。本文预测该技术未来的发展方向主要集中在两个技术方向:群体智能和自组织协同策略。
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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