@conference {440,
	title = {GVGExp: Communication-Constrained Multi-Robot Exploration System based on Generalized Voronoi Graphs},
	booktitle = {International Symposium on Multi-Robot and Multi-Agent Systems (MRS)},
	year = {2021},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cambridge, United Kingdom},
	abstract = {This paper presents GVGExp, a recurrent-connectivity exploration strategy for multi-robot systems to discover unknown environments under communication-constrained conditions. A robust multi-robot exploration strategy with communication constraints is important to accomplish several applications, e.g., underwater or planetary exploration. Mainstream multi-robot exploration strategies have considered unlimited communication. In addition, these strategies delegate the resolution of potential path collisions to local planners. In this paper, we explicitly focus on minimizing the number of communication events between robots given the limited bandwidth that can be available in real missions, as well as explicitly minimizing potential path interference between robots. GVGExp incrementally builds a Generalized Voronoi Graph (GVG), which is used by the robots to determine the topology of the environment. We introduce a novel property of the GVG called gate to identify a region (subtree) that is uniquely assigned to each robot, with no overlap, thus minimizing potential path interference. Whenever a robot finishes exploring a region, in a depth-first search fashion, or finds a loop connecting to other parts of the environment, the robot shares information with other robots that are in range to enable coordination. We performed numerous simulations to evaluate our proposed strategy and compared it with other state-of-the-art methods. Experimental results show that GVGExp is able to explore the environments in a relatively short amount of time, significantly reducing communication events and path interference.},
	doi = {10.1109/MRS50823.2021.9620554},
	url = {https://ieeexplore.ieee.org/document/9620554/},
	author = {Masaba, Kizito and Quattrini~Li, Alberto}
}
@conference {441,
	title = {DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization},
	booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2020},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Las Vegas, NV, USA},
	doi = {10.1109/IROS45743.202010.1109/IROS45743.2020.9341201},
	url = {https://ieeexplore.ieee.org/document/9341201/},
	author = {Joshi, Bharat and Modasshir, Md and Manderson, Travis and Damron, Hunter and Xanthidis, Marios and Quattrini~Li, Alberto and Rekleitis, Ioannis and Dudek, Gregory}
}
@article {399,
	title = {A Multi-Trip Task Assignment for Early Target Inspection in Squads of Aerial Drones},
	journal = {IEEE Transactions on Mobile Computing},
	volume = {in press},
	year = {2020},
	author = {N. Bartolini and Andrea Coletta and Gaia Maselli and Ala Khalifeh}
}
@conference {410,
	title = {ROS-CBT: Communication Benchmarking Tool for the Robot Operating System: Extended Abstract},
	booktitle = {International Symposium on Multi-Robot and Multi-Agent Systems (MRS)},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	address = {New Brunswick, NJ, USA},
	abstract = {Simulation plays a critical role in robotics as it allows verification and it provides evaluations of robot software before real world deployment. One prevalent limitation of robotic simulators that support the Robot Operating System, ROS - a de facto standard for developing robotic software - is the absence of communication simulators. This poses a serious challenge in testing software for multi-robot systems (MRS) that use explicit communication, hence limiting the development of this technology. Figure 1 illustrates the problem tackled in this paper.},
	doi = {10.1109/MRS47350.201910.1109/MRS.2019.8901094},
	url = {https://ieeexplore.ieee.org/document/8901094/},
	author = {Masaba, Kizito and Quattrini~Li, Alberto}
}
@proceedings {406,
	title = {On Task Assignment for Early Target Inspection in Squads of Aerial Drones},
	year = {2019},
	author = {N. Bartolini and A. Coletta and G. Maselli}
}
@conference {377,
	title = {Adding Heuristics to Conflict-Based Search for Multi-Agent Pathfinding},
	booktitle = {International Conference on Automated Planning and Scheduling (ICAPS)},
	year = {2018},
	author = {Ariel Felner and Jiaoyang Li and Eli Boyarski and Hang Ma and Liron Cohen and T. K. Satish Kumar and Sven Keonig}
}
@conference {419,
	title = {Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields},
	booktitle = {OCEANS 2018 MTS/IEEE Charleston},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC},
	doi = {10.1109/OCEANS.2018.8604873},
	url = {https://ieeexplore.ieee.org/document/8604873/},
	author = {Hansen, Johanna and Manjanna, Sandeep and Quattrini~Li, Alberto and Rekleitis, Ioannis and Dudek, Gregory}
}
@conference {420,
	title = {Experimental Analysis of Radio Communication Capabilities of Multiple Autonomous Surface Vehicles},
	booktitle = {OCEANS 2018 MTS/IEEE Charleston},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC},
	doi = {10.1109/OCEANS.2018.8604713},
	url = {https://ieeexplore.ieee.org/document/8604713},
	author = {Malebary, Sharaf and Moulton, Jason and Quattrini~Li, Alberto and Rekleitis, Ioannis}
}
@conference {416,
	title = {Heterogeneous Multirobot System for Exploration and Strategic Water Sampling},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2018},
	url = {https://doi.org/10.1109/ICRA.2018.8460759},
	author = {Sandeep Manjanna and Quattrini~Li, Alberto and Ryan N. Smith and Ioannis Rekleitis and Gregory Dudek}
}
@article {301,
	title = {Markov inequality rule for switching among time optimal controllers in a multiple vehicle intercept problem},
	journal = {Automatica},
	volume = {87},
	year = {2018},
	pages = {274--280},
	doi = {https://doi.org/10.1016/j.automatica.2017.09.009},
	url = {https://www.sciencedirect.com/science/article/pii/S000510981730479X?via\%3Dihub},
	author = {Dejan Milutinovi{\'c} and David W. Casbeer and Meir Pachter}
}
@conference {375,
	title = {Multi-Agent Path Finding with Deadlines},
	booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
	year = {2018},
	keywords = {conference},
	author = {Hang Ma and Glenn Wagner and Ariel Felner and Jiaoyang Li and T. K. Satish Kumar and Sven Koenig}
}
@conference {376,
	title = {Multi-Agent Path Finding with Deadlines: Preliminary Results},
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
	year = {2018},
	author = {Hang Ma and Glenn Wagner and Ariel Felner and Jiaoyang Li and T. K. Satish Kumar and Sven Koenig}
}
@conference {417,
	title = {Multi-robot Dubins Coverage with Autonomous Surface Vehicles},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2018},
	url = {https://doi.org/10.1109/ICRA.2018.8460661},
	author = {Nare Karapetyan and Jason Moulton and Jeremy S. Lewis and Quattrini~Li, Alberto and Jason M. O{\textquoteright}Kane and Ioannis Rekleitis}
}
@article {378,
	title = {AI Buzzwords Explained: Multi-Agent Path Finding (MAPF)},
	journal = {AI Matters},
	volume = {3},
	year = {2017},
	pages = {15{\textendash}19},
	keywords = {journal},
	author = {Hang Ma and Sven Koenig}
}
@conference {334,
	title = {Collaborative Sampling Using Heterogeneous Marine Robots Driven by Visual Cues},
	booktitle = {Proceedings of the Conference on Computer and Robot Vision (CRV)},
	year = {2017},
	abstract = {This paper addresses distributed data sampling in marine environments using robotic devices. We present a method to strategically sample locally observable features using two classes of sensor platforms. Our system consists of a sophisticated autonomous surface vehicle (ASV) which strategically samples based on information provided by a team of inexpensive sensor nodes. The sensor nodes effectively extend the observational capabilities of the vehicle by capturing georeferenced samples from disparate and moving points across the region. The ASV uses this information, along with its own observations, to plan a path so as to sample points which it expects to be particularly informative. We compare our approach to a traditional exhaustive survey approach and show that we are able to effectively represent a region with less energy expenditure. We validate our approach through simulations and test the system on real robots in field.},
	doi = {10.1109/CRV.2017.49},
	author = {Sandeep Manjanna and Johanna Hansen and Quattrini~Li, Alberto and Ioannis Rekleitis and Gregory Dudek}
}
@conference {381,
	title = {Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments},
	booktitle = {AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE)},
	year = {2017},
	keywords = {conference},
	author = {Hang Ma and Jingxing Yang and Liron Cohen and T. K. Satish Kumar and Sven Koenig}
}
@conference {302,
	title = {A Geometric Approach for the Cooperative Two-Pursuer One-Evader Differential Game},
	booktitle = {20th IFAC World Congress},
	year = {2017},
	doi = {10.1016/j.ifacol.2017.08.2366},
	url = {https://www.sciencedirect.com/science/article/pii/S240589631733183X},
	author = {Eloy Garcia and Zachariah E. Fuchs and Dejan Milutinovi{\'c} and David W. Casbeer and Meir Pachter}
}
@conference {380,
	title = {Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks},
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
	year = {2017},
	keywords = {conference},
	author = {Hang Ma and Jiaoyang Li and T. K. Satish Kumar and Sven Koenig}
}
@conference {379,
	title = {Multi-Agent Path Finding with Delay Probabilities},
	booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
	year = {2017},
	keywords = {conference},
	author = {Hang Ma and T. K. Satish Kumar and Sven Koenig}
}
@article {353,
	title = {Overview: A Hierarchical Framework for Plan Generation and Execution in Multirobot Systems},
	journal = {IEEE Intelligent Systems},
	volume = {32},
	year = {2017},
	month = {Jan-11-2017},
	pages = {6 - 12},
	issn = {1541-1672},
	doi = {10.1109/MIS.2017.4531217},
	url = {http://ieeexplore.ieee.org/document/8268002/http://xplorestaging.ieee.org/ielx7/9670/8267591/08268002.pdf?arnumber=8268002},
	author = {Ma, Hang and Honig, Wolfgang and Cohen, Liron and Uras, Tansel and Xu, Hong and Kumar, T.K. Satish and Ayanian, Nora and Koenig, Sven}
}
@conference {356,
	title = {Summary: Multi-Agent Path Finding with Kinematic Constraints},
	booktitle = {Twenty-Sixth International Joint Conference on Artificial IntelligenceProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence},
	year = {2017},
	publisher = {International Joint Conferences on Artificial Intelligence Organization},
	organization = {International Joint Conferences on Artificial Intelligence Organization},
	address = {Melbourne, AustraliaCalifornia},
	doi = {10.24963/ijcai.201710.24963/ijcai.2017/684},
	url = {https://www.ijcai.org/proceedings/2017https://www.ijcai.org/proceedings/2017/684},
	author = {Honig, Wolfgang and Kumar, T. K. Satish and Cohen, Liron and Ma, Hang and Xu, Hong and Ayanian, Nora and Koenig, Sven}
}
@conference {335,
	title = {Data Correlation and Comparison from Multiple Sensors over a Coral Reef with a Team of Heterogeneous Aquatic Robots},
	booktitle = {International Symposium on Experimental Robotics (ISER)},
	year = {2016},
	abstract = {This paper presents experimental insights from the deployment of an ensemble of heterogeneous autonomous sensor systems over a shallow coral reef. Visual, inertial, GPS, and ultrasonic data collected are compared and correlated to produce a comprehensive view of the health of the coral reef. Coverage strategies are discussed with a focus on the use of informed decisions to maximize the information collected during a fixed period of time.},
	doi = {10.1007/978-3-319-50115-4_62},
	author = {Quattrini~Li, Alberto and Ioannis Rekleitis and Sandeep Manjanna and Nikhil Kakodkar and Johanna Hansen and Gregory Dudek and Leonardo Bobadilla and Jacob Anderson and Ryan N. Smith}
}
@conference {358,
	title = {Formation change for robot groups in occluded environments},
	booktitle = {2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2016},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Daejeon, South Korea},
	doi = {10.1109/IROS.2016.7759710},
	url = {http://ieeexplore.ieee.org/document/7759710/http://xplorestaging.ieee.org/ielx7/7743711/7758082/07759710.pdf?arnumber=7759710},
	author = {Honig, Wolfgang and Kumar, T. K. Satish and Ma, Hang and Koenig, Sven and Ayanian, Nora}
}
@conference {276,
	title = {Growing Controllable Networks via Whiskering and Submodular Optimization},
	booktitle = {Conference on Decision and Control},
	year = {2016},
	month = {12/2016},
	abstract = {The topology of a network directly influences the behaviour and controllability of dynamical processes on that network. Therefore, the design of network topologies is an important area of research when examining the control of distributed systems. We discuss a method for growing networks known as whiskering, as well as generalizations of this process, and prove that they preserve controllability. We then use techniques from submodular optimization to analyze optimization algorithms for adding new nodes to a network to optimize certain objectives, such as graph connectivity.},
	author = {Hudoba de Badyn, Mathias and Mesbahi, Mehran}
}
@conference {188,
	title = {Multi-Agent Path Finding with Kinematic Constraints},
	booktitle = {International Conference on Automated Planning and Scheduling},
	year = {2016},
	month = {Jun},
	address = {London, UK},
	keywords = {Multi-Agent Path Finding with Kinematic Contraints},
	author = {Wolfgang H{\"o}nig and T. K. Satish Kumar and Liron Cohen and Hang Ma and Hong Xu and Nora Ayanian and Sven Koenig}
}
@conference {382,
	title = {Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem},
	booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
	year = {2016},
	keywords = {conference},
	author = {Hang Ma and Craig Tovey and Guni Sharon and T. K. Satish Kumar and Sven Koenig}
}
@conference {383,
	title = {Optimal Target Assignment and Path Finding for Teams of Agents},
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
	year = {2016},
	keywords = {conference},
	author = {Hang Ma and Sven Koenig}
}
@conference {384,
	title = {Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios},
	booktitle = {IJCAI-16 Workshop on Multi-Agent Path Finding (WOMPF)},
	year = {2016},
	keywords = {workshop},
	author = {Hang Ma and Sven Koenig and Nora Ayanian and Liron Cohen and Wolfgang H{\"o}nig and T. K. Satish Kumar and Tansel Uras and Hong Xu and C. Tovey and G. Sharon}
}
@conference {385,
	title = {Planning, Scheduling and Monitoring for Airport Surface Operations},
	booktitle = {AAAI-16 Workshop on Planning for Hybrid Systems (PlanHS)},
	year = {2016},
	keywords = {workshop},
	author = {Robert Morris and Corina Pasareanu and Kasper Luckow and Waqar Malik and Hang Ma and T. K. Satish Kumar and Sven Koenig}
}
@conference {264,
	title = {Scalable value approximation for multiple target tail-chase with collision avoidance},
	booktitle = {2016 IEEE 55th Conference on Decision and Control (CDC)},
	year = {2016},
	month = {Dec},
	keywords = {Cost function, Dynamic programming, Games, Hazards, Markov processes, Mathematical model, Optimal control},
	doi = {10.1109/CDC.2016.7798645},
	author = {A. Hashemi and D. Milutinovi{\'c} and D. W. Casbeer}
}
@article {189,
	title = {Cooperative Control for Target Tracking with Onboard Sensing},
	journal = {International Journal of Robotics Research},
	volume = {34},
	year = {2015},
	month = {November},
	pages = {1660-1677},
	author = {Karol Hausman and Joerg Mueller and Abishek Hariharan and Nora Ayanian and Gaurav Sukhatme}
}
@conference {192,
	title = {Mixed Reality for Robotics},
	booktitle = {IEEE/RSJ Intl Conf. Intelligent Robots and Systems},
	year = {2015},
	month = {Sept},
	address = {Hamburg, Germany},
	author = {Wolfgang Hoenig and Christina Milanes and Lisa Scaria and Thai Phan and Mark Bolas and Nora Ayanian}
}
@conference {360,
	title = {Mixed reality for robotics},
	booktitle = {2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2015},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Hamburg, Germany},
	doi = {10.1109/IROS.2015.7354138},
	url = {http://ieeexplore.ieee.org/document/7354138/http://xplorestaging.ieee.org/ielx7/7347169/7353104/07354138.pdf?arnumber=7354138},
	author = {Honig, Wolfgang and Milanes, Christina and Scaria, Lisa and Phan, Thai and Bolas, Mark and Ayanian, Nora}
}
@conference {159,
	title = {Multi-robot manipulation controlled by a human with haptic feedback},
	booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2015},
	abstract = {The interaction of a single human with a team of cooperative robots, which collaboratively manipulate an object, poses a great challenge by means of the numerous possibilities of issuing commands to the team or providing appropriate feedback to the human. In this paper we propose a formationbased approach in order to avoid deformations of the object and to virtually couple the human to the formation. Here the human can be interpreted as a leader in a leader-follower formation with the robotic manipulators being the followers. The results of a controllability analysis in such a leader-follower formation suggest that it is beneficial to measure the state of the human (leader) by all physically cooperating manipulators (followers). The proposed approach is evaluated in a full-scale multi-robot cooperative manipulation experiment with humans.},
	author = {D. Sieber and S. Music and S. Hirche}
}
@conference {151,
	title = {Network Entropy: A System-Theoretic Perspective},
	booktitle = {Conference on Decision and Control},
	year = {2015},
	author = {Mathias Hudoba de Badyn and Chapman, Airlie and Mesbahi, Mehran}
}
@article {111,
	title = {Observer-Based Decentralized Fault Detection and Isolation Strategy for Networked Multirobot Systems},
	journal = {Control Systems Technology, IEEE Transactions on},
	volume = {PP},
	year = {2015},
	pages = {1-1},
	abstract = {In this paper, we present a distributed fault {detection} and isolation (FDI) strategy for a team of networked robots that builds on a distributed controller-observer schema. Remarkably different from other works in literature, the proposed FDI approach makes each robot of the team able to detect and isolate faults occurring on other robots, even if they are not direct neighbors. By means of a local observer, each robot can estimate the overall state of the team and it can use such an estimate to compute its local control input to achieve global tasks. The same information used by the local observers is also used to compute residual vectors, whose aim is to allow the detection and the isolation of actuator faults occurring on any robot of the team. Adaptive thresholds are derived based on the dynamics of the residual vectors by considering the presence of nonzero initial observer estimation errors, and noise terms affecting state measurement and model dynamics. The approach is validated via both numerical simulations and experiments involving four Khepera III mobile robots.},
	keywords = {Distributed multirobot systems, Fault detection, fault detection and isolation (FDI), networked robots., Noise, Noise measurement, Observers, Robots, Uncertainty, Vectors},
	issn = {1063-6536},
	doi = {10.1109/TCST.2014.2377175},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=\&arnumber=7004823},
	author = {Arrichiello, F. and Marino, A. and Pierri, F.}
}
@article {199,
	title = {Benchmark of Swarm Robotics Distributed Techniques in a Search Task},
	journal = {Robotica},
	volume = {32},
	year = {2014},
	month = {Oct.},
	pages = {1017-1038},
	author = {Couceiro MS and Portugal, D and Rocha, RP and Ferreira, NMF}
}
@conference {HausmanCooperative2014,
	title = {Cooperative Control for Target Tracking with Onboard Sensing},
	booktitle = {International Symposium of Robotics Research},
	year = {2014},
	month = {Jun},
	address = {Morocco},
	author = {Karol Hausman and Joerg Mueller and Abishek Hariharan and Nora Ayanian and Gaurav Sukhatme}
}
@article {197,
	title = {Mechanism and Convergence Analysis of a Multi-Robot Swarm Approach Based on Natural Selection},
	journal = {Journal of Intelligent and Robotic Systems},
	volume = {76},
	year = {2014},
	month = {Nov.},
	pages = {353-381},
	author = {Couceiro, M S and Martins, F M and Rocha, R P and Ferreira, N M F}
}
@article {155,
	title = {Stochastic Optimal Enhancement of Distributed Formation Control Using Kalman Smoothers},
	journal = {Robotica},
	volume = {32},
	year = {2014},
	month = {03/2014},
	pages = {305-324},
	author = {Ross Anderson and Dejan Milutinovi{\'c}}
}
@article {81,
	title = {A decentralized controller-observer scheme for multi-agent weighted centroid tracking},
	journal = {IEEE Transactions on Automatic Control},
	volume = {58},
	year = {2013},
	pages = {1310{\textendash}1316},
	author = {Antonelli, Gianluca and Arrichiello, Filippo and Caccavale, Fabrizio and Marino, Alessandro}
}
@conference {43,
	title = {RMASBench: Benchmarking Dynamic Multi-Agent Coordination in Urban Search and Rescue},
	booktitle = {Proc. of the 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2013)},
	year = {2013},
	abstract = {We propose RMASBench, a new benchmarking tool based on the RoboCup Rescue Agent simulation system, to easily compare coordination approaches in a dynamic rescue scenario. In particular, we offer simple interfaces to plug-in coordination algorithms without the need for implementing and tuning low-level agents behaviors. Moreover, we add to the realism of the simulation by providing a large scale crowd simulator, which exploits GPUs parallel architecture, to simulate the behavior of thousands of agents in real time. Finally, we focus on a specific coordination problem where fire fighters must combat fires and prevent them from spreading across the city. We formalize this problem as a Distributed Constraint Optimization Problem and we compare two state-of-the art solution techniques: DSA and MaxSum. We perform an extensive empirical evaluation of such techniques considering several standard measures for performance (e.g. damages to buildings) and coordination overhead (e.g., message exchanged and non concurrent constraint checks). Our results provide interesting insights on limitations and benefits of DSA and MaxSum in our rescue scenario and demonstrate that RMASBench offers powerful tools to compare coordination algorithms in a dynamic environment.},
	keywords = {agent coordination, agent simulation, DCOP, performance metrics},
	isbn = {978-1-4503-1993-5},
	url = {http://dl.acm.org/citation.cfm?id=2484920.2485139},
	author = {A. Kleiner and A. Farinelli and S. Ramchurn and B. Shi and F. Maffioletti and R. Reffato}
}
@article {205,
	title = {A Fuzzified Systematic Adjustment of the Robotic Darwinian PSO},
	journal = {Robotics and Autonomous Systems},
	volume = {60},
	year = {2012},
	month = {Dec.},
	pages = {1625-1639},
	author = {Couceiro, M. S. and Machado, J. A. T. and Rocha, R. P. and Ferreira, N. M. F.}
}
@article {206,
	title = {Introducing the Fractional Order Darwinian Particle Swarm Optimization},
	journal = {Signal, Image and Video Processing, Special Issue on Fractional Signals and Systems},
	volume = {6},
	year = {2012},
	month = {Sep.},
	pages = {343-350},
	author = {Couceiro, M. S. and Rocha, R. P. and Ferreira, N. M. and Machado, J. T.}
}
@article {35,
	title = {Modeling and Control of UAV Bearing-Formations with Bilateral High-Level Steering},
	journal = {The International Journal of Robotics Research, Special Issue on 3D Exploration, Mapping, and Surveillance},
	volume = {31},
	year = {2012},
	month = {10/2012},
	pages = {1504-1525},
	abstract = {In this paper we address the problem of controlling the motion of a group of UAVs bound to keep a formation defined in terms of only relative angles (i.e., a bearing-formation). This problem can naturally arise within the context of several multi-robot applications such as, e.g., exploration, coverage, and surveillance. First, we introduce and thoroughly analyze the concept and properties of bearing-formations, and provide a class of minimally linear sets of bearings sufficient to uniquely define such formations. We then propose a bearing-only formation controller requiring only bearing measurements, converging almost globally, and maintaining bounded inter-agent distances despite the lack of direct metric information. The controller still leaves the possibility to impose group motions tangent to the current bearing-formation. These can be either autonomously chosen by the robots because of any additional task (e.g., exploration), or exploited by an assisting human co-operator. For this latter {\textquoteleft}human-in-the-loop{\textquoteright} case, we propose a multi-master/multi-slave bilateral shared control system providing the co-operator with some suitable force cues informative of the UAV performance. The proposed theoretical framework is extensively validated by means of simulations and experiments with quadrotor UAVs equipped with onboard cameras. Practical limitations, e.g., limited field-of-view, are also considered.},
	keywords = {Bilateral Shared Control of Mobile Robots, Decentralized control, Force feedback, Formation control, Haptics, Motion control of multiple robots, Multi-robot systems, Teleoperation},
	author = {Antonio Franchi and Carlo Masone and Volker Grabe and Markus Ryll and Heinrich H. B{\"u}lthoff and Paolo Robuffo Giordano}
}
@conference {46,
	title = {The SHERPA project: smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments},
	booktitle = {Proc. of the IEEE Int. Workshop on Safety, Security and Rescue Robotics (SSRR)},
	year = {2012},
	address = {College Station, US},
	abstract = {The goal of the paper is to present the foreseen research activity of the European project {\textquoteleft}{\textquoteleft}SHERPA{\textquoteright}{\textquoteright} whose activities will start officially on February 1th 2013. The goal of SHERPA is to develop a mixed ground and aerial robotic platform to support search and rescue activities in a real-world hostile environment, like the alpine scenario that is specifically targeted in the project. Looking into the technological platform and the alpine rescuing scenario, we plan to address a number of research topics about cognition and control. What makes the project potentially very rich from a scientific viewpoint is the heterogeneity and the capabilities to be owned by the different actors of the SHERPA system: the human rescuer is the {\textquoteleft}{\textquoteleft}busy genius{\textquoteright}{\textquoteright}, working in team with the ground vehicle, as the {\textquoteleft}{\textquoteleft}intelligent donkey{\textquoteright}{\textquoteright}, and with the aerial platforms, i.e. the {\textquoteleft}{\textquoteleft}trained wasps{\textquoteright}{\textquoteright} and {\textquoteleft}{\textquoteleft}patrolling hawks{\textquoteright}{\textquoteright}. Indeed, the research activity focuses on how the {\textquoteleft}{\textquoteleft}busy genius{\textquoteright}{\textquoteright} and the {\textquoteleft}{\textquoteleft}SHERPA animals{\textquoteright}{\textquoteright} interact and collaborate with each other, with their own features and capabilities, toward the achievement of a common goal.},
	keywords = {alpine environments, autonomous aerial vehicles, busy genius, Cognitive Systems, European project, Ground and Aerial Robotics, ground-aerial robots, human rescuer, intelligent donkey, patrolling hawks, real-world hostile environment, rescuing activities, Robust Control, Search and Rescue, search and rescue activities, SHERPA project, smart collaboration, telerobotics, trained wasps},
	doi = {10.1109/SSRR.2012.6523905},
	author = {Marconi, L. and Melchiorri, C. and Beetz, M. and Pangercic, D. and Siegwart, R. and Leutenegger, S. and Carloni, R. and Stramigioli, S. and Bruyninckx, H. and Doherty, P. and Kleiner, A. and Lippiello, V. and Finzi, A. and Siciliano, B. and Sala, A. and Tomatis, N.}
}
@conference {47,
	title = {ARMO: Adaptive Road Map Optimization for Large Robot Teams},
	booktitle = {IROS},
	year = {2011},
	address = {San Fransisco, USA},
	abstract = {Autonomous robot teams that simultaneously dispatch transportation tasks are playing more and more an important role in present logistic centers and manufacturing plants. In this paper we consider the problem of robot motion planning for large robot teams in the industrial domain. We present adaptive road map optimization (ARMO) that is capable of adapting the road map in real time whenever the environment has changed. Based on linear programming, ARMO computes an optimal road map according to current environmental constraints (including human whereabouts) and the current demand for transportation tasks from loading stations in the plant. For detecting dynamic changes, the environment is describe by a grid map augmented with a hidden Markov model (HMM). We show experimentally that ARMO outperforms decoupled planning in terms of computation time and time needed for task completion.},
	isbn = {978-1-61284-454-1},
	doi = {10.1109/IROS.2011.6048339},
	author = {A. Kleiner and D. Sun and D. Meyer-Delius}
}
@inbook {217,
	title = {Computational Science and Its Applications - ICCSA 2011: International Conference, Santander, Spain, June 20-23, 2011. Proceedings, Part III},
	year = {2011},
	pages = {58{\textendash}73},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	chapter = {Multi-robot Visual Coverage Path Planning: Geometrical Metamorphosis of the Workspace through Raster Graphics Based Approaches},
	address = {Berlin, Heidelberg},
	isbn = {978-3-642-21931-3},
	doi = {10.1007/978-3-642-21931-3_5},
	url = {http://dx.doi.org/10.1007/978-3-642-21931-3_5},
	author = {Valente, Jo{\~a}o and Barrientos, Antonio and Del Cerro, Jaime and Rossi, Claudio and Colorado, Julian and Sanz, David and Garz{\'o}n, Mario},
	editor = {Murgante, Beniamino and Gervasi, Osvaldo and Iglesias, Andr{\'e}s and Taniar, David and Apduhan, Bernady O.}
}
@article {172,
	title = {Enforcing Network Connectivity in Robot Team Missions},
	journal = {The International Journal of Robotics Research},
	volume = {29},
	year = {2010},
	pages = {460-480},
	abstract = {The growing interest in robot teams for surveillance or rescue missions entails new technological challenges. Robots have to move to complete their tasks while maintaining communication among themselves and with their human operators, in many cases without the aid of a communication infrastructure. Guaranteeing connectivity enables robots to explicitly exchange information needed in collaborative task execution, and allows operators to monitor or manually control any robot at all times. Network paths should be multi-hop, so as not to unnecessarily restrict the team{\textquoteright}s range. In this work we contribute a complete system which integrates three research aspects, usually studied separately, to achieve these characteristics: a multi-robot cooperative motion control technique based on a virtual spring{\textemdash}damper model which prevents communication network splits, a task allocation algorithm that takes advantage of network link information in order to ensure autonomous mission completion, and a network layer which works over wireless 802.11 devices, capable of sustaining hard real-time traffic and changing topologies. Link quality among peers is the key metric used to cooperatively move the robots and maintain uninterrupted connectivity, and the basis for novel ideas presented in each subsystem. Simulations and experimental results with real robots are presented and discussed.},
	doi = {10.1177/0278364909358274},
	url = {http://ijr.sagepub.com/content/29/4/460.abstract},
	author = {Tardioli, D. and Mosteo, A.R. and Riazuelo, L. and Villarroel, J.L. and Montano, L.}
}
@conference {405,
	title = {Autonomous deployment of heterogeneous mobile sensors},
	booktitle = {2009 17th IEEE International Conference on Network Protocols},
	year = {2009},
	author = {N. Bartolini and T. Calamoneri and T. La Porta and A. Massini and S. Silvestri}
}
@conference {173,
	title = {Guaranteed-Performance Multi-robot Routing under Limited Communication Range},
	booktitle = {Distributed Autonomous Robotic Systems (DARS)},
	year = {2009},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Tsukuba, Japan},
	isbn = {978-3-642-00644-9},
	doi = {10.1007/978-3-642-00644-9_43},
	url = {http://link.springer.com/chapter/10.1007\%2F978-3-642-00644-9_43},
	author = {Alejandro R Mosteo and Luis Montano and Michail G Lagoudakis}
}
@book {153,
	title = {Cells and Robots: Modeling and Control of Large-Size Agent Populations},
	series = {Springer Tracts in Advanced Robotics},
	volume = {32},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	author = {Dejan Milutinovi{\'c} and Pedro Lima}
}
@article {152,
	title = {Modeling and Optimal Centralized Control of a Large-Size Robotic Population},
	journal = {IEEE Transactions on Robotics},
	volume = {22},
	year = {2006},
	month = {12/2006},
	pages = {1280-1285},
	author = {Dejan Milutinovi{\'c} and Pedro Lima}
}
@conference {174,
	title = {Auction-Based Multi-Robot Routing},
	booktitle = {Proceedings of Robotics: Science and Systems},
	year = {2005},
	month = {June},
	address = {Cambridge, USA},
	author = {Michail G. Lagoudakis and Evangelos Markakis and David Kempe and Pinar Keskinocak and Anton Kleywegt and Sven Koenig and Craig Tovey and Adam Meyerson and Sonal Jain}
}
@conference {154,
	title = {Biologically Inspired Stochastic Hybrid Control of Multi-Robot Systems},
	booktitle = {Proceedings of the 11th International Conference on Advanced Robotics  (ICAR)},
	year = {2003},
	address = {Coimbra, Portugal},
	author = {Dejan Milutinovi{\'c} and Pedro Lima and Michael Athans}
}
