摘要
机器人与机器学习每日新闻》的新闻记者兼编辑发布了一个机器人。根据NewsRx记者在中华人民共和国上海的新闻报道，研究表明：“这封信提出了一种可变准入控制方法，旨在通过考虑直接和间接的人类意图来增强人与人之间的直观互动。力的大小是直接意图的代表，描绘了快速或精确运动的先决条件。”本研究经费来源于国家自然科学基金(NSFC)。新闻记者引用了上海交吴大学的一篇研究文章：“从运动科学和运动控制领域出发，采用最小挺举模型来反映人体运动系统的控制策略和运动行为，由此导出速度-曲率模式，从而直观地估计间接意图，指示长期目标，如轨迹和转向，我们提出了一种创新的引导方法。”为了评估这种方法的有效性，在六自由度机器人和力/力矩传感器上进行了离线仿真和实时人体实验。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - An droids have been published. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “This letter introduc es a variable admittance control approach aimed at enhancing intuitive human-rob ot interaction by considering both direct and indirect human intentions. The mag nitude of force serves as a representation of direct intentions, delineating pre ferences for rapid or precise motions.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Shanghai Jiao To ng University, “Drawing from the movement sciences and motor control field, the minimum-jerk model is employed to mirror human motor system control policies and movement behaviors. From this model, velocity-curvature patterns are derived, e nabling an intuitive estimation of indirect intentions indicating long-term obje ctives like trajectory and turning direction. We propose an innovative guidance method, rooted in the estimation of indirect human intentions, enabling the robo t to concurrently follow and guide the operator. To assess the efficacy of this approach, both offline simulations and real-time human experiments are conducted on a six-DOF robot and a force/torque sensor.”
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