摘要
机器人和机器学习的新闻编辑每日新闻-机器人的最新数据-机器人在一份新的报告中呈现。根据NewsRx记者从南京发回的新闻报道，研究称：“在机器人研发过程中，由于硬件的脆弱性，通常首先使用仿真环境对算法进行验证和测试，基于开放式动态引擎开发了RoboC up3D仿真环境，并以Humanoid机器人NAO为主要机器人建模。为仿人机器人研究人员研究机器人运动提供了一个仿真平台。本研究经费来源于国家自然科学基金(NSFC)。新闻编辑引用了南京大学的研究成果,“同时,它也是RoboCup 3D赛事的官方平台,在足球机器人比赛规则下,有利于多机器人,特别是多仿人机器人协作策略的研究。”首先介绍了仿真环境中存在的基本问题，然后分别介绍了仿真环境中基于模型和非模型的机器人运动生成与优化研究，然后介绍了RoboCu p3D规则下多仿人机器人协作策略设计的相关研究，包括定位、动态角色分配等。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics - Androids are presented in a new report. According to news reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “In the process of robot research and development, due to the vulnerability of hardware, simulation environment is often used to verify and test algorithms first. RoboC up3D simulation environment is developed based on open dynamic engine, and the h umanoid robot NAO is modeled as the main robot, which provides a simulation plat form for humanoid robot researchers to study robot movements.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from Nanjing University, “At the same time, it is also the official platform of RoboCup 3D events. Under the rules of soccer robot competition, it is helpful for the research of multi-robo ts, especially multi-humanoid robots’ cooperation strategy. This paper summarize s the related research in RoboCup3D simulation environment, and first introduces the basic problems existing in this simulation environment. Secondly, the resea rch of robot motion generation and optimization based on model and non-model in simulation environment is introduced respectively. Then, it introduces the relat ed research of cooperation strategy design of multi-humanoid robots under RoboCu p3D rules, including positioning, dynamic role assignment, etc.”
NETL
NSTL