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Fall Detection in T-FLoW Humanoid Robot: V-REP Simulation

机译:T-FLoW人形机器人的跌倒检测:V-REP模拟

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Research on T-FloW humanoid robot in EEPIS Robotics Research Center (ER2C) has entered the third generation. Previously, the robot already had primitive motions to mimic 'human-like' walking capabilities by making use of an open loop motion controller. Yet, a feedback control system is required in order to take corrective measures due to walking parameter variations. In this current stage of the work, the development is aimed to provide the robot with adequate number of sensors to detect the movement of the robot. This paper describes the utilisation of the sensors in our robot to analyze and detect its condition when the robot begins to fall down. An inertial measurement unit (IMU) sensor consists of 3-axes accelerometer and 3-axes gyrometer was in use. The analysis was done under V-REP simulation software which is equipped with Vortex dynamic engine. The simulation showed the detected characteristic of the walking parameters of the robot just before it begins to fall down. This simulation result is paramount for further T-FloW walking controller development.
机译:EEPIS机器人研究中心(ER2C)对T-FloW人形机器人的研究已进入第三代。以前,该机器人已经具有通过使用开环运动控制器来模仿“类人”步行功能的原始运动。然而,由于步行参数变化,需要反馈控制系统以便采取纠正措施。在当前的工作阶段,开发旨在为机器人提供足够数量的传感器以检测机器人的运动。本文介绍了机器人中传感器的使用情况,以分析和检测机器人开始跌落时的状况。惯性测量单元(IMU)传感器由3轴加速度计和3轴陀螺仪组成。分析是在装有Vortex动态引擎的V-REP模拟软件下进行的。仿真显示了刚开始跌落之前机器人的步行参数的检测特征。该仿真结果对于进一步开发T-FloW行走控制器至关重要。

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