摘要
一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的最新数据在一份新的报告中呈现。根据NewsRx编辑来自中华人民共和国北京的新闻，这项研究指出，“大型四足机器人由于其优越的地形和适应能力，具有广泛的日常任务潜力。”新闻记者从北京理工学院获得了一句话：“然而，小型四足机器人有效载荷有限，无法携带足够的传感和计算资源，这给它们的环境适应性带来了限制。”为了解决这一挑战，我们提出了一种高效的闭环自适应控制器，该控制器通过简化姿态估计和控制策略，仅利用惯性测量单元传感器，为此，我们将该控制系统集成到小型四足机器人SQuRo中，并进行了一系列实验验证了SQuRo的环境适应性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Large quadruped robots have sho wn potential for a wide range of everyday tasks due to their superior terrain ad aptation.” The news correspondents obtained a quote from the research from Beijing Institut e of Technology: “However, small-scale quadruped robots have limited payloads an d thus cannot carry sufficient sensing and computational resources, which impose s limitations on their environmental adaptability. To address this challenge, we proposed an efficient closed-loop adaptive controller by simplified pose estima tion and control strategy that utilizes only inertial measurement unit sensors, which drastically reduces the control computation. Accordingly, we integrated th is control system into a small-scale quadruped robot, SQuRo, and conducted a ser ies of experiments to verify the environmental adaptation performance of SQuRo.”
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