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Shared Control Design of a Walking-Assistant Robot

机译:助行机器人的共享控制设计

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This brief presents a control design for a walking-assistant robot in a complex indoor environment, such that it can assist a walking-impaired person to walk and avoid unexpected obstacles. In this design, the robot motion is a resultant of autonomous navigation and compliant motion control. The compliance motion controller allows the robot to possess passive behavior following the motion intent of the user, while the autonomous guidance gives safe navigation of the robot without colliding with any obstacles. A shared-control approach is suggested to combine the passive compliant behavior and safe guidance of the robot. When a user exerts force to the robot, the mobile platform responds to adjust the speed in compliance with the user movement. On the other hand, the autonomous navigation controller is designed to provide collision-free guidance. Using the developed shared controller, outputs of the compliance motion controller and autonomous navigation controller are fused to generate appropriate motion for the robot. In this manner, passive behavior allows the walking-assistant robot to adapt to a user’s motion intent and move in compliance with user. Meanwhile, the active guidance adjusts the linear velocity and the direction of the robot in real time in response to the environmental data received from the on-board laser scanner. The developed algorithms have been implemented on a self-constructed walking-assistant robot. Experimental results validate the proposed design and demonstrate that the robot can actively avoid unexpected obstacles while move passively following the user to the destination.
机译:本简介介绍了一种用于复杂室内环境中的助行机器人的控制设计,它可以帮助有行走障碍的人行走并避免意外的障碍。在这种设计中,机器人运动是自主导航和顺应性运动控制的结果。顺应性运动控制器使机器人能够遵循用户的运动意图而具有被动行为,而自主引导则使机器人得以安全导航而不会遇到任何障碍物。建议采用一种共享控制方法,以结合被动的顺应行为和机器人的安全指导。当用户向机器人施加力时,移动平台会根据用户的移动做出响应来调整速度。另一方面,自主导航控制器被设计为提供无碰撞的引导。使用开发的共享控制器,可将顺应性运动控制器和自主导航控制器的输出融合在一起,以生成适合机器人的运动。通过这种方式,被动行为使助行机器人能够适应用户的运动意图并按照用户的要求运动。同时,主动引导可根据从机载激光扫描仪接收到的环境数据实时调整机器人的线速度和方向。所开发的算法已在自建步行辅助机器人上实现。实验结果验证了所提出的设计,并证明了机器人在主动跟随用户到达目的地时可以主动避免意外的障碍。

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