Application of Multi-Robot Systems to Disaster-Relief Scenarios with Limited Communication

In this systems description paper, we present a multi-robot solution for intelligence-gathering tasks in disaster-relief scenarios where communication quality is uncertain. First, we propose a formal problem statement in the context of operations research. The hardware configuration of two heterogeneous robotic platforms capable of performing experiments in a relevant field environment and a suite of autonomy-enabled behaviors that support operation in a communication-limited setting are described. We also highlight a custom user interface designed specifically for task allocation amongst a group of robots towards completing a central mission. Finally, we provide an experimental design and extensive, preliminary results for studying the effectiveness of our system.

[1]  Alonzo Kelly,et al.  Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots , 2007, Int. J. Robotics Res..

[2]  Hugh F. Durrant-Whyte,et al.  Simultaneous map building and localization for an autonomous mobile robot , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[3]  Robin R. Murphy,et al.  Disaster Robotics , 2014, Springer Handbook of Robotics, 2nd Ed..

[4]  Frank Dellaert,et al.  Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing , 2006, Int. J. Robotics Res..

[5]  Wolfram Burgard,et al.  Exploring Unknown Environments with Mobile Robots using Coverage Maps , 2003, IJCAI.

[6]  Dirk Van Oudheusden,et al.  The orienteering problem: A survey , 2011, Eur. J. Oper. Res..

[7]  Jonathan R. Fink,et al.  Mapping with a ground robot in GPS denied and degraded environments , 2014, 2014 American Control Conference.

[8]  E. Strickland,et al.  24 hours at Fukushima , 2011, IEEE Spectrum.

[9]  F. Dellaert Factor Graphs and GTSAM: A Hands-on Introduction , 2012 .

[10]  Arnoud Visser,et al.  Towards heterogeneous robot teams for disaster mitigation: Results and performance metrics from RoboCup rescue , 2007, J. Field Robotics.

[11]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[12]  Mark S. Daskin,et al.  The orienteering problem with stochastic profits , 2008 .

[13]  Sebastian Thrun,et al.  The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures , 2006, Int. J. Robotics Res..

[14]  Daniel D. Lee,et al.  The University of Pennsylvania MAGIC 2010 multi‐robot unmanned vehicle system , 2012, J. Field Robotics.

[15]  Michel Gendreau,et al.  The orienteering problem with stochastic travel and service times , 2011, Ann. Oper. Res..

[16]  Brian M. Sadler,et al.  Efficient base station connectivity area discovery , 2013, Int. J. Robotics Res..

[17]  Alain Hertz,et al.  The capacitated team orienteering and profitable tour problems , 2007, J. Oper. Res. Soc..

[18]  Kazuya Yoshida,et al.  Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots , 2013, J. Field Robotics.

[19]  Edwin Olson,et al.  Progress toward multi‐robot reconnaissance and the MAGIC 2010 competition , 2012, J. Field Robotics.