Exploration and mapping with autonomous robot teams

Authors:
Edwin Olson;Johannes Strom;Rob Goeddel;Ryan Morton;Pradeep Ranganathan;Andrew Richardson
Affiliations:
University of Michigan, Ann Arbor;University of Michigan, Ann Arbor;University of Michigan, Ann Arbor;University of Michigan, Ann Arbor;University of Michigan, Ann Arbor;University of Michigan, Ann Arbor
Venue:
Communications of the ACM
Year:
2013

Citing 10
Cited 1

Atlas: a framework for large scale automated mapping and localization

Atlas: a framework for large scale automated mapping and localization
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing

International Journal of Robotics Research
Autonomous driving in urban environments: Boss and the Urban Challenge

Journal of Field Robotics - Special Issue on the 2007 DARPA Urban Challenge, Part I
Robust and efficient robotic mapping

Robust and efficient robotic mapping
Recognizing places using spectrally clustered local matches

Robotics and Autonomous Systems
Real-time correlative scan matching

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Human-Robot Interactions in Future Military Operations

Human-Robot Interactions in Future Military Operations
The University of Pennsylvania MAGIC 2010 multi-robot unmanned vehicle system

Journal of Field Robotics
Progress toward multi-robot reconnaissance and the MAGIC 2010 competition

Journal of Field Robotics
WAMbot: Team MAGICian's entry to the Multi Autonomous Ground-robotic International Challenge 2010

Journal of Field Robotics

Confidence metrics improve human-autonomy integration

Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

Quantified Score

Hi-index	48.22

Visualization

Abstract

The MAGIC 2010 robot competition showed how well multi-robot teams can work with human teams in urban search.