摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-关于机器人的详细数据已经发布。根据NewsRx记者从中国北京发回的新闻报道，研究表明：“与传统的关节连接结构机器人相比，受生物启发的肌肉骨骼机器人具有更好的顺应性、灵活性和鲁棒性。然而，将强化学习方法应用于这类机器人在现实场景中面临的挑战是对反馈状态的完美观察，包括局部观察、噪声干扰和时延。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting originating in Beijing, People’s Republic o f China, by NewsRx journalists, research stated, “Compared to traditional robots employing joint-link structures, biologically inspired musculoskeletal robots offer superior compliance, dexterity, and robustness. However, applying reinforce ment learning methods to such robots in real-world scenarios is challenged by im perfect observation of feedback states, including partial observation, noise int erference, and time delay.”
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