Distributed subterranean exploration and mapping with teams of UAVs

Teams of small autonomous UAVs can be used to map and explore unknown environments which are inaccessible to teams of human operators in humanitarian assistance and disaster relief efforts (HA/DR). In addition to HA/DR applications, teams of small autonomous UAVs can enhance Warfighter capabilities and provide operational stand-off for military operations such as cordon and search, counter-WMD, and other intelligence, surveillance, and reconnaissance (ISR) operations. This paper will present a hardware platform and software architecture to enable distributed teams of heterogeneous UAVs to navigate, explore, and coordinate their activities to accomplish a search task in a previously unknown environment.

[1]  Henrik I. Christensen,et al.  Coordination strategies for multi-robot exploration and mapping , 2014, Int. J. Robotics Res..

[2]  Nils J. Nilsson,et al.  A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..

[3]  Wolfram Burgard,et al.  Fully distributed scalable smoothing and mapping with robust multi-robot data association , 2012, 2012 IEEE International Conference on Robotics and Automation.

[4]  Frank Dellaert,et al.  DDF-SAM 2.0: Consistent distributed smoothing and mapping , 2013, 2013 IEEE International Conference on Robotics and Automation.

[5]  Vijay Kumar,et al.  Distributed autonomous mapping of indoor environments , 2011, Defense + Commercial Sensing.

[6]  Frank Dellaert,et al.  iSAM2: Incremental smoothing and mapping using the Bayes tree , 2012, Int. J. Robotics Res..

[7]  John J. Leonard,et al.  Robust Mapping and Localization in Indoor Environments Using Sonar Data , 2002, Int. J. Robotics Res..

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

[9]  Andrea Censi,et al.  An ICP variant using a point-to-line metric , 2008, 2008 IEEE International Conference on Robotics and Automation.

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

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