首页> 外文会议>Australasian Conference on Robotics and Automation >Planning Stable and Efficient Paths for Articulated Mobile Robots On Challenging Terrains
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Planning Stable and Efficient Paths for Articulated Mobile Robots On Challenging Terrains

机译:规划稳定的移动机器人的稳定和有效的路径,充满挑战的地形

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摘要

An analytical strategy to generate stable paths for a reconfigurable vehicle while also meeting additional navigational objectives is herein proposed. The work is motivated by robots traversing over challenging terrains during search and rescue operations, such as those equipped with manipulator arms and/or flippers. The proposed solution looks at minimizing the length of the traversed path and the energy expenditure in changing postures, yet also accounts for additional constraints in terms of sensor visibility (i.e arm configurations close to those orthogonal to the horizontal global plane which can afford a wider sensor view) and traction (i.e. flipper angles that provide the largest trackterrain interaction area). The validity of the proposed planning approach is evaluated with a multitracked robot fitted with flippers and a range camera at the end of a manipulator arm while navigating over two challenging 3D terrain data sets: one in a mock-up urban search and rescue arena (USAR), and a second one from a publicly available quasi-outdoor rover testing facility (UTIAS).
机译:本文提出了一种分析策略,以产生可重新配置车辆的稳定路径,同时也提出了满足额外的导航目标。这项工作受到在搜索和救援行动期间穿过具有挑战性的地形的机器人,例如配备有机械手臂和/或脚蹼的机器人。所提出的解决方案探讨最小化遍历姿势的遍历路径和能量支出的长度,但也考虑了传感器可视性方面的额外约束(即靠近能够提供更广泛传感器的水平全球平面垂直的臂配置。视图)和牵引(即提供最大的Trackterrain交互区域的鳍状角角)。拟议的规划方法的有效性是用装有脚蹼的多+机器人和机械臂末端的范围摄像机进行了评估,同时导航两个具有挑战性的3D地形数据集:一个模拟城市搜索和救援竞技场(USAR ),以及来自公开的准室外流浪者测试设施(UTIA)的第二个。

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