Establishing Human-Machine Communication through Kinesiology and Linguistic Integration

将人类运动学的符号系统，即身体和运动，与自然语言系统联系起来，我们构建了一个理解世界和其他人的计算系统，并根据自然语言系统确定自己的运动。虽然它遵循了许多年前人类运动员走的不同的道路，但现在的机器人系统分享了我们理解世界和其他人的非常有限但相似的方式。在本研究过程中，我们为估计人体运动中的体感和神经活动奠定了计算基础。还为与人类交流的类人机器人开发了力敏致动器、传动系统和控制系统，以对干扰做出闪电反应。

Connecting the symbol system of kinesiology, namely body and motions, of a human withthe natural larlguage system, we constructed a computation system that understandsthe world and the others, and determines the own motion based on the urlderstandir19.Though it followed a different pathway that the arlcestors of humans had takerl manyyears ago, a robot system now carl share a very limited but similar way we understandthe world and the others. On the course of this research, we established acomputational foundation to estimate somatosensory sensatiorl arld neural activitiesof humans in motion. Force sensitive actuators and transmission systems and controlsystems to make flash response to disturbances are also developed for humanoidrobotsthat communicate with the humans.