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Distributed motion planning for modular robots

机译:模块化机器人的分布式运动计划

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摘要

On the software side of modular robotics, there are many challenging steps towards the ultimate intelligent and autonomous robot module (sub-component). Examples of such challenges are to derive distributed task planning, distributed motion planning and distributed control methods. In this paper we focus on the derivation of a distributed or "truly modular" local motion planner. Such a motion planner must as input take tasks for the assembled modular robot and without any central intelligence deliver the necessary robot motion. More specifically, we illustrate how the method of artificial forces together with a new description of the robot kinematics can be used for developing a distributed local motion planner. The motion planner is truly distributed as the software on each module only needs information about the module itself and of modules which are physically directly connected to it. Although the method is essentially very general, we for simplicity only illustrate it for planar K-linked modular robots. We present the motion planning algorithms for link and joint processors for this special case and we show output of simulations. Furthermore, we present results from applying the motion planner to a planar truly modular robot consisting of 4 links and 4 revolute joints each with their own on-board processor.
机译:在模块化机器人技术的软件方面,朝着最终的智能和自主机器人模块(子组件)迈出了许多具有挑战性的步骤。此类挑战的示例是推导分布式任务计划,分布式运动计划和分布式控制方法。在本文中,我们专注于分布式或“真正模块化”的局部运动计划器的推导。这样的运动计划器必须作为输入来承担组装好的模块化机器人的任务,并且没有任何中央智能就可以传递必要的机器人运动。更具体地说,我们说明了如何使用人工力方法以及对机器人运动学的新描述来开发分布式局部运动计划器。运动计划器是真正分布的,因为每个模块上的软件只需要有关模块本身以及直接与其物理连接的模块的信息。尽管该方法本质上非常通用,但为简单起见,我们仅针对平面K链接模块化机器人进行说明。我们针对这种特殊情况介绍了用于链接处理器和联合处理器的运动计划算法,并显示了模拟输出。此外,我们还介绍了将运动计划器应用于平面的真正模块化机器人的结果,该机器人由4个链接和4个旋转关节组成,每个链接都有自己的车载处理器。

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