多机器人觅食的套索法

A. Vardy
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引用次数: 2

摘要

我们提出了一种新的多机器人觅食方法。这种方法利用标量场来引导机器人在整个环境中收集目标物体。环境必须是平面的,有一个封闭的、连续的边界。然而,边界的形状可以是任意的。传统的机器人觅食方法假设一个开放的环境或一个简单的边界,不会阻碍机器人-我们的方法克服了一个限制。我们的分布式控制算法使机器人绕过环境并将物体向内推向目标。我们使用现实世界和模拟实验证明了我们的方法的性能,并研究了机器人数量,边界复杂性和传感范围限制的影响。
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The Lasso Method for Multi-Robot Foraging
We propose a novel approach to multi-robot foraging. This approach makes use of a scalar field to guide robots throughout an environment while gathering objects towards the goal. The environment must be planar with a closed, contiguous boundary. However, the boundary's shape can be arbitrary. Conventional robot foraging methods assume an open environment or a simple boundary that never impedes the robots—a limitation which our method overcomes. Our distributed control algorithm causes the robots to circumnavigate the environment and nudge objects inwards towards the goal. We demonstrate the performance of our approach using real-world and simulated experiments and study the impact of the number of robots, the complexity of the boundary, and limitations on the sensing range.
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