导线
机器人
地形
计算机科学
全球导航卫星系统应用
搜救
救援机器人
步行机器人
平面图(考古学)
实时计算
人工智能
分布式计算
移动机器人
全球定位系统
地质学
地理
电信
古生物学
地图学
大地测量学
作者
Ian D. Miller,Fernando Cladera,Anthony Cowley,Shreyas S. Shivakumar,Elijah S. Lee,Laura Jarin-Lipschitz,Akhilesh Bhat,Neil Rodrigues,Alex Zhou,Avraham Cohen,Adarsh Kulkarni,James Laney,Camillo J. Taylor,Vijay Kumar
出处
期刊:IEEE robotics and automation letters
日期:2020-02-10
卷期号:5 (2): 2840-2847
被引量:6
标识
DOI:10.1109/lra.2020.2972872
摘要
Robotic exploration of underground environments is a particularly challenging problem due to communication, endurance, and traversability constraints which necessitate high degrees of autonomy and agility. These challenges are further exacerbated by the need to minimize human intervention for practical applications. While legged robots have the ability to traverse extremely challenging terrain, they also engender new challenges for planning, estimation, and control. In this work, we describe a fully autonomous system for multi-robot mine exploration and mapping using legged quadrupeds, as well as a distributed database mesh networking system for reporting data. In addition, we show results from DARPA Subterranean Challenge (SubT) Tunnel Circuit demonstrating localization of artifacts after traversals of hundreds of meters. These experiments describe fully autonomous exploration of an unknown Global Navigation Satellite System (GNSS)-denied environment undertaken by legged robots.
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