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High interactive sensory robot system design in the indoor autonomous services applications

机译:室内自治服务应用中的高互动感官机器人系统设计

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A high sensory robot system conveniently controls the mobile robot action through the Natural human-machine interaction. Therefore, different hand motions are realized to approximate the required service tasks. Magnetic sensors are located at the defined path to guide the robot platform. Three ultrasonic sensors settle at the outside of mobile robot platform to detect possible blocks in an unknown environment. The RFID reader is proposed to understand the real position of mobile robot in the dynamic space. In data fusion machine, some matched position signals are selected into database for extracting the possible tracks in advance. Therefore, the appropriate path is remembered and will be reloaded again to guide the mobile robot into the desired target at the patrol mode. In practical experiments, people communicate with robot through the hand recognitions of Kinect sensor. Sensor information is suitable to handle various service tasks, i.e. pull the pallet in or extend it out, by the human-like movement. A fuzzy system with suitable rules is utilized to drive the server motor for achieving the great performance. The robot system is not only controlled by an interactive interface but also reached an autonomous navigation by extracting the appropriate mapping information. The high sensory robot system obtains interactive actions with the combinations of image recognitions, suitable path planning and obstacle detecting technologies to approach the guiding goal. In the implementation of hardware, the architectures of mobile robot and motor drivers are completely assembled to support the home tasks. The soft fuzzy system generates the robust robot regulation to automatically achieve the perfect feasibility of fetch-and-give tasks.
机译:高感觉机器人系统通过天然人机交互方便地控制移动机器人动作。因此,实现了不同的手动运动以近似于所需的服务任务。磁传感器位于定义的路径,以引导机器人平台。三个超声波传感器在移动机器人平台外面落户,以检测未知环境中可能的块。建议RFID读者理解移动机器人在动态空间中的实际位置。在数据融合机中,将一些匹配的位置信号选择为数据库,以提前提取可能的曲目。因此,记住适当的路径,并将再次重新加载以将移动机器人引导到巡逻模式下的所需目标。在实际实验中,人们通过识别Kinect传感器与机器人通信。传感器信息适用于处理各种服务任务,即将托盘拉入或延伸出来,通过人类的运动来延伸。利用具有合适规则的模糊系统来驱动服务器电机实现良好的性能。机器人系统不仅由交互式界面控制,而且通过提取适当的映射信息也达到了自主导航。高感觉机器人系统以图像识别的组合,合适的路径规划和障碍物检测技术获得交互式动作,以接近引导目标。在实现硬件的实施中,移动机器人和电机驱动程序的架构完全组装以支持家庭任务。软模糊系统会产生强大的机器人调节,以自动实现获取和提供任务的完美可行性。

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