软件部署
模块化设计
机器人
领域(数学)
TRIPS体系结构
建筑工程
无人机
计算机科学
工程类
系统工程
运输工程
人工智能
软件工程
操作系统
数学
生物
纯数学
遗传学
作者
Troy Cordie,Tirthankar Bandyopadhyay,Jonathan Roberts,Matthew Dunbabin,Kelly Greenop,Ross Dungavell,Ryan Steindl
摘要
Abstract Robotic inspection often relies on building custom platforms for each new deployment; this is a luxury that urban search and rescue (USAR) robots do not have when time is of critical importance. A significant factor for robots deployed in disaster areas is the varying size of voids and access ways in their path. These situations require platforms that can quickly reconfigure on location. With these challenges in mind, we present the NeWheel system: An in‐field reconfigurable robotic platform that allows mobility changes before, and during, deployment. The NeWheel platform also has the advantage of being small enough to be person‐deployable and to travel as checked luggage on a commercial flight. This field report presents the results and learnings from three field trips on Peel Island located off the coast of Brisbane, Australia. These field trips featured the deployment of the NeWheel system in multiple configurations to inspect and map inside historic dilapidated buildings. It demonstrates the potential of the NeWheel in buildings cluttered with debris and with unstable flooring whether they are historically important or in USAR contexts.
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