摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。根据《中华人民共和国北京新闻报》记者的报道，研究表明：“本研究的目的是通过肌肉骨骼机器人和大脑控制器来实现类人的运动和性能。仿人机器人系统由于在灵活性、健壮性和通用性等方面的固有优势，基于平衡点假设(EPH)和肌肉动力学的神经机制,提出了一种深前向神经网络(DFNN)控制器。首先,分析了ph在人体内的神经机制,为该方法的控制方案提供了依据。本研究的资金来源包括国家自然科学基金科技创新重大项目(NSFC)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news originating from Beijing, People’s Republic of China , by NewsRx correspondents, research stated, “PurposeThe purpose of this study i s realizing human-like motions and performance through musculoskeletal robots an d brain-inspired controllers. Human-inspired robotic systems, owing to their pot ential advantages in terms of flexibility, robustness and generality, a deep forward neural network (DFNN) controller was proposed inspir ed by the neural mechanisms of equilibrium-point hypothesis (EPH) and musculoske letal dynamics.FindingsFirst, the neural mechanism of EPH in human was analyzed, providing the basis for the control scheme of the proposed method.” Financial supporters for this research include Major Project of Science and Tech nology Innovation, National Natural Science Foundation of China (NSFC).
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