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arXiv 2202.03243cs.ROcs.SYeess.SY
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空气释放式软体机器人在爆炸物处理中的应用

Air-Releasable Soft Robots for Explosive Ordnance Disposal

Tyler C. Looney, Nathan M. Savard, Gus T. Teran, Archie G. Milligan, Ryley I. Wheelock, Michael Scalise, Daniel P. Perno, Gregory C. Lewin, Carlo Pinciroli, Cag… 展开作者

Tyler C. Looney, Nathan M. Savard, Gus T. Teran, Archie G. Milligan, Ryley I. Wheelock, Michael Scalise, Daniel P. Perno, Gregory C. Lewin, Carlo Pinciroli, Cagdas D. Onal, Markus P. Nemitz

摘要:

使用无人机排雷具有挑战性;空中释放的有效载荷通常是非智能的(例如,水气球或爆炸物),并且由于复杂的部署轨迹和无人机飞行员受限的视觉意识,将它们部署在甚至低的高度(~6米)固有地不准确。软体机器人为空中排雷提供了一种独特的方法,这是由于软体机器人的坚固、低成本和重量轻的设计。在此,我们建议使用可释放空气的软体机器人进行排雷,而不是使用非智能有效载荷。我们开发了一个完整的系统,包括一个改装到软体机器人载体上的无人机,包括一个定制的部署机构,以及一个可空气释放、重量轻(296 g)、不受束缚的软体混合机器人,该机器人具有集成电子设备,其中包含一种新型的真空闪光器滚筒致动器系统。我们展示了一个部署周期,其中无人机从4.5米的高度下降的软机器人混合动力,之后机器人接近一个假地雷。通过在兴趣点部署软体机器人,我们可以将软体机器人技术从实验室过渡到现实世界的环境。

英文摘要:

The demining of landmines using drones is challenging; air-releasable payloads are typically non-intelligent (e.g., water balloons or explosives) and deploying them at even low altitudes (~6 meter) is inherently inaccurate due to complex deployment trajectories and constrained visual awareness by the drone pilot. Soft robotics offers a unique approach for aerial demining, namely due to the robust, low-cost, and lightweight designs of soft robots. Instead of non-intelligent payloads, here, we propose the use of air-releasable soft robots for demining. We developed a full system consisting of an unmanned aerial vehicle retrofitted to a soft robot carrier including a custom-made deployment mechanism, and an air-releasable, lightweight (296 g), untethered soft hybrid robot with integrated electronics that incorporates a new type of a vacuum-based flasher roller actuator system. We demonstrate a deployment cycle in which the drone drops the soft robotic hybrid from an altitude of 4.5 m meters and after which the robot approaches a dummy landmine. By deploying soft robots at points of interest, we can transition soft robotic technologies from the laboratory to real-world environments.

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