摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-一项关于机器人的新研究现在开始了。根据Ne wsRx编辑在中华人民共和国哈尔滨的新闻报道，研究表明，“在物体操纵中，运动本质上受到物体几何和动力学的限制。人类在抓握物体时使用直观的物理理解，从而有效地应用了操纵力。”本研究经费来源于国家自然科学基金(NSFC)。我们的新闻记者从哈尔滨工业大学的研究中获得了一句话：“这涉及到对物体在物理世界中行为的‘常识’意识，这是人类感知的一个基本方面。从直觉物理学中汲取inspira，我们引入了一个新的面向任务的抓取框架A2G。”该框架训练神经网络，将操作力趋势与目标物体的点云关联起来，模拟人的直观物理感知，并结合抓取姿态滤波器，获得改进的抓取姿态。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting out of Harbin, People’s Republic of China, by Ne wsRx editors, research stated, “In object manipulation, movements are inherently restricted by object geometry and dynamics. Humans use an intuitive understandi ng of physics while grasping objects, resulting in an efficient application of m anipulation force.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Harbin Institut e of Technology, “This involves a ‘common sense’ awareness of how objects behave in the physical world-a fundamental aspect of human perception. Drawing inspira tion from intuitive physics, we introduce a novel task-oriented grasp framework, A2G, to select force-saving grasps for manipulation tasks and can be generalize d with objects with the same physics manipulation logic. The framework trains a neural network that associates manipulation force trends with the point clouds o f the target object to imitate human intuitive physics perception. Furthermore, we integrate a grasp pose filter to acquire improved grasp poses for manipulatio n tasks.”
NETL
NSTL