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Control program structure of humanoid robot

机译:人形机器人的控制程序结构

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In this paper, the new control program structure for humanoid robot which consists of multi-CPU, multi-OS and multi-task is described. And, the method for planning action from multiple sensor information by using the Production system is also described. Task program has hierarchical structure like as human being has conscious action and unconscious action. Our design concept is generality of task. We want to make a control program independently on the architecture of a robot and other tasks. We also want to make software architecture simple. Task program is divided into three levels. Tasks must communicate each other. However, if one task can communicate another task at random, the amount of communication increases exponentially. Therefore, we made a rule of task in order to make the amount of communication linearly increase. On the other hand, a robot must determine next action from multiple sensor information. We introduced the reasoning mechanism of Production system for determining next action. It becomes easy to determine next action from multiple sensor input by using this method. We could make a robot grasp a block by using this method and simulator, and we confirmed the effectiveness of methods mentioned above.
机译:本文描述了由多CPU,多OS和多任务组成的人形机器人的新控制程序结构。并且,还描述了通过使用生产系统从多个传感器信息中规划动作的方法。任务计划具有等级结构,如人类有意识的行动和无意识的行动。我们的设计概念是任务的一般性。我们希望独立于机器人和其他任务的体系结构进行控制程序。我们还想使软件架构简单。任务计划分为三个级别。任务必须相互通信。但是,如果一个任务随机可以随机传送另一个任务,则通信量呈指数增加。因此,我们犯了一项任务,以使通信量线性增加。另一方面,机器人必须从多个传感器信息确定下一个动作。我们介绍了生产系统确定下一个行动的推理机制。通过使用此方法可以轻松地确定从多个传感器输入的下一个动作。我们可以使用这种方法和模拟器使机器人掌握块,我们确认了上述方法的有效性。

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