模仿搜救犬的嗅觉:四足机器人的仿生转向框架

Filippo Sanfilippo, I. ˜. Ra
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引用次数: 0

摘要

由于它们的嗅觉和搜寻失踪者的能力,狗在搜索和救援(SAR)中很有价值。狗狗可以在水下、雪下,甚至在摇摇晃晃的建筑物下发现人类,因为它们能闻到人类的气味。制造具有犬类敏捷性的无人驾驶自主四足机器人是完全复制狗的能力的一个有吸引力的步骤。有腿的机器人已经能够模仿狗的一些身体特征,比如穿越崎岖地形的能力。然而,他们还需要复制狗的感官知觉水平,才能成功地进行搜救行动。为了实现这一目标,在这项工作中采用了一种导航策略,该策略通过遵循Braitenberg车辆的原则,使用直接的传感器-电机耦合。这篇论文代表了将仿生传感器导向机构与仿生四足机器人运动连接起来的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mimicking the Sense of Smell of Search and Rescue (SAR) Dogs: a Bio-inspired Steering Framework for Quadruped Robots
Due to their sense of smell and ability to explore areas for missing people, dogs are valuable for search and rescue (SAR). Canines can discover humans under water, under snow, and even beneath crumbling structures because they can smell human scent. Building unmanned autonomous quadruped robots with canine agility is an attractive step to fully replicate the capabilities of dogs. Robots with legs are already capable of mimicking some of the physical traits of dogs, such as the capacity to traverse rough terrain. However, they would need to replicate also the level of sensory perception of a dog to successfully perform SAR operations. To achieve this, a navigation strategy that uses a direct sensor-motor coupling by following the principles of the Braitenberg vehicles is adopted in this work. This paper represents one of the first steps towards the connection of bio-inspired sensor-based steering mechanisms and bio-inspired locomotion for quadruped robots.
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