CERBERUS in the DARPA Subterranean Challenge

Author:

Tranzatto Marco1ORCID,Miki Takahiro1ORCID,Dharmadhikari Mihir2ORCID,Bernreiter Lukas3ORCID,Kulkarni Mihir2ORCID,Mascarich Frank4ORCID,Andersson Olov3ORCID,Khattak Shehryar1ORCID,Hutter Marco1ORCID,Siegwart Roland3ORCID,Alexis Kostas2ORCID

Affiliation:

1. Robotic Systems Lab, ETH Zurich, Zurich, Switzerland.

2. Autonomous Robots Lab, Norwegian University of Science and Technology, Trondheim, Norway.

3. Autonomous Systems Lab, ETH Zurich, Zurich, Switzerland.

4. Autonomous Robots Lab, University of Nevada, Reno, NV, USA.

Abstract

This article presents the core technologies and deployment strategies of Team CERBERUS that enabled our winning run in the DARPA Subterranean Challenge finals. CERBERUS is a robotic system-of-systems involving walking and flying robots presenting resilient autonomy, as well as mapping and navigation capabilities to explore complex underground environments.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference15 articles.

1. D. Montgomery The Pentagon’s $82 Million Super Bowl of Robots The Washington Post Magazine (2021); www.washingtonpost.com/magazine/2021/11/10/darpa-robot-competition/.

2. Team CERBERUS Team CERBERUS wins the DARPA Subterranean Challenge! (2022);www.subt-cerberus.org/.

3. CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

4. P. De Petris H. Nguyen M. Dharmadhikari M. Kulkarni N. Khedekar F. Mascarich K. Alexis RMF-owl: A collision-tolerant flying robot for autonomous subterranean exploration arXiv:2202.11055 (2022).

5. Graph‐based subterranean exploration path planning using aerial and legged robots

Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3