摘要
由一名新闻记者-机器人与机器学习每日新闻编辑-研究人员详细介绍了机器人S-机器人和自动化的新数据。根据NewsRx编辑在中华人民共和国上海的新闻报道，研究表明，“这封信解决了多agent编队控制中最优运动插值的挑战。主要目标是生成相似变换轨迹，以最小化各种指标，如行驶距离、动能消耗和总体平滑度。”本研究经费来源于国家自然科学基金(NSFC)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting out of Shanghai, People ’s Republic of China, by NewsRx editors, research stated, “This letter addresses the challenge of optimal motion interpolation in multi-agent formation control. The primary goal is to generate trajectories of similarity transformations that minimize various metrics, such as distance traveled, kinetic energy consumption , and overall smoothness.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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