Biblio

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F. Arrichiello, Marino, A., and Pierri, F., Observer-Based Decentralized Fault Detection and Isolation Strategy for Networked Multirobot Systems, Control Systems Technology, IEEE Transactions on, vol. PP, pp. 1-1, 2015.
H. Luo, Li, M., Liang, G., Qian, H., and Lam, T. Lun, An Obstacle-crossing Strategy Based on the Fast Self-reconfiguration for Modular Sphere Robots, in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 3296–3303.
J. Chen, Gauci, M., Li, W., Kolling, A., and Gross, R., Occlusion-Based Cooperative Transport with a Swarm of Miniature Mobile Robots, IEEE Transactions on Robotics, vol. 31, no. 2, pp. 307–321, 2015.
F. Amigoni, Banfi, J., Basilico, N., Rekleitis, I., and Quattrini Li, A., Online Update of Communication Maps for Exploring Multirobot Systems Under Connectivity Constraints, vol. 9. Cham: Springer International Publishing, 2019, pp. 513 - 526.
H. Ma and Koenig, S., Optimal Target Assignment and Path Finding for Teams of Agents, in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016.
S. Wang, Krishnamachari, B., and Ayanian, N., The Optimism Principle: A Unified Framework for Optimal Robotic Network Deployment in An Unknown Obstructed Environment, in IEEE/RSJ Intl Conf. Intelligent Robots and Systems, Hamburg, Germany, 2015.
S. Wang, Krishnamachari, B., and Ayanian, N., The optimism principle: A unified framework for optimal robotic network deployment in an unknown obstructed environment, in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015.
L. Zhang, Zhang, Z., Siegwart, R., and Chung, J. Jen, Optimized motion strategy for active target localization of mobile robots with time-varying connectivity, in 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2019.
H. Ma, Honig, W., Cohen, L., Uras, T., Xu, H., Kumar, T. K. Satish, Ayanian, N., and Koenig, S., Overview: A Hierarchical Framework for Plan Generation and Execution in Multirobot Systems, IEEE Intelligent Systems, vol. 32, no. 6, pp. 6 - 12, 2017.
H. Ma, Koenig, S., Ayanian, N., Cohen, L., Hönig, W., Kumar, T. K. Satish, Uras, T., Xu, H., Tovey, C., and Sharon, G., Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios, in IJCAI-16 Workshop on Multi-Agent Path Finding (WOMPF), 2016.