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Multirobot Cliff Climbing on Low-Gravity Environments

机译:在低重力环境下攀爬多罗频悬崖

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Exploration of extreme environments, including caves, canyons and cliffs on low-gravity surfaces such as the Moon, Mars and asteroids can provide insight into the geological history of the solar system, origins of water, life and prospect for future habitation and resource exploitation. Current methods of exploration utilize large rovers that are unsuitable for exploring these extreme environments. In this work, we analyze the feasibility of small, low-cost, reconfigurable multirobot systems to climb steep cliffs and canyon walls. Each robot is a 30-cm sphere covered in microspines for gripping onto rugged surfaces and attaches to several robots using a spring-tether. Even if one robot were to slip and fall, the system would be held up with multiple attachment points much like a professional alpine climber. We analyzed and performed detailed simulations of the design configuration space to identify an optimal system design that trades-off climbing performance with risk of falling. Our results show that with increased number of robots, climbs can be performed faster (through parallelism) and with less risk of falling. The results show a pathway towards demonstration of the system on real robots.
机译:极端环境的探索,包括洞穴,峡谷和悬崖上的低重力表面,如月球,火星和小行星,可以深入了解太阳系的地质历史,水,生命和未来居住地的前景和资源开发。目前的探索方法利用了不适合探索这些极端环境的大型群体。在这项工作中,我们分析了小型,低成本,可重构的多机罗多机系统的可行性,以爬上陡峭的悬崖和峡谷墙壁。每个机器人都是一个30厘米的球体覆盖在微孔中,用于抓住坚固的表面并使用弹簧系绳附着到几个机器人。即使一个机器人是滑倒和下降,系统也会用多个附着点举起,就像专业的高山登山者一样。我们分析并执行了设计配置空间的详细模拟,以确定具有跌倒风险的攀爬性能的最佳系统设计。我们的研究结果表明,随着机器人数量增加,可以更快地(通过并行)和越来越落下风险的攀升。结果表明,在真实机器人上示范系统的途径。

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