Collaboration in multi-robot systems
2015
Abstract
Multi Robot System (MRS) is one of the most important research areas in the field of Robotics and Artificial Intelligence. The study of Multi Robot Systems may take many aspects; therefore, it is useful to study the Multi Robot Systems from a specific point of view to get a more focused idea. In this paper, we present a review of the recent trends in Multi Robot Systems research by focusing at the collaborative aspect. Furthermore, we address the structure of Multi Robot Systems, their applications and the techniques and algorithms used in the collaborative MRS.
References (44)
- Iocchi, L., Nardi, D. and Salerno, M. 2001. Reactivity and deliberation: a survey on multi-robot systems. In Balancing reactivity and social deliberation in multi- agent systems (pp. 9-32). Springer Berlin Heidelberg.
- Arai, T., Pagello, E., and Parker, L. E. 2002. Editorial: Advances in multi-robot systems. IEEE Transactions on robotics and automation, 18(5), 655-661.
- Xiong, N., He, J., Yang, Y., He, Y., Kim, T. H. and Lin, C. 2010. A survey on decentralized flocking schemes for a set of autonomous mobile robots. Journal of Communications, 5(1), 31-38.
- Gautam, A. and Mohan, S. 2012, August. A review of research in multi-robot systems. In Industrial and Information Systems (ICIIS), 2012 7 th IEEE International Conference on (pp. 1-5). IEEE.
- Gerkey B. P., Thrun S. and Gordon G. 2005. Parallel Stochastic Hill-Climbing with Small Teams. Multi- Robot Systems. From Swarms to Intelligent Automata, Volume III, Springer.
- Parker, L. 2008. Distributed intelligence: overview of the field and its application in multi-robot systems. J. Phys. Agents 2, 5-14.
- Zhou, Y. 2010. Distributed control of multi-robot deployment motion. INTECH Open Access Publisher.
- Parker, L. E. 2008. Multiple mobile robot systems. In Springer Handbook of Robotics (pp. 921-941). Springer Berlin Heidelberg.
- Khoshnevis, B. and Bekey, G. 1998. Centralized sensing and control of multiple mobile robots. Computers and industrial engineering, 35(3), 503-506.
- Milutinovic, D., and Lima, P. 2006. Modeling and optimal centralized control of a large-size robotic population. Robotics, IEEE Transactions on, 22(6), 1280-1285.
- Khan, M. R., Billah, M. M., Ahmed, M., and Aziz, N. A. 2011, May. A novel algorithm for collaborative behavior of multi-robot in autonomous reconnaissance. In Mechatronics (ICOM), 2011 4 th International Conference on (pp. 1-6). IEEE.
- Xu, W. B., Chen, X. B., Zhao, J. and Huang, T. Y. 2013. A Decentralized Method Using Artificial Moments for Multi-Robot Path-Planning. Int J Adv Robotic Sy, 10 (24).
- Wang, T., Ramik, D. M., Sabourin, C. and Madani, K. 2012. Intelligent systems for industrial robotics: application in logistic field. Industrial Robot: An International Journal, 39(3), 251-259.
- LeBlanc, K., and A. 2008, May. Cooperative anchoring in heterogeneous multi-robot systems. In Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on (pp. 3308-3314). IEEE.
- Chand, P., and Carnegie, D. A. 2013. Mapping and exploration in a hierarchical heterogeneous multi- robot system using limited capability robots. Robotics and autonomous Systems, 61(6), 565-579.
- Hu, C., Hu, C., He, D. and Gu, Q. 2015, May. New ROS-based hybrid architecture for heterogeneous multi-robot systems. In Control and Decision Conference (CCDC), 2015 27 th Chinese (pp. 4721- 4726). IEEE.
- Wu, H., Tian, G. and Huang, B. 2008, September. Multi-robot collaborative localization methods based on Wireless Sensor Network. In Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on (pp. 2053-2058). IEEE.
- Gasparri, A. and Prosperi, M. 2008, May. A bacterial colony growth framework for collaborative multi- robot localization. In Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on (pp. 2806-2811). IEEE.
- Bori, F., Gasparri, A. and Panzieri, S. 2009, October. A fitness-sharing based genetic algorithm for collaborative Multi Robot Localization. In Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on (pp. 3968-3973). IEEE.
- Gasparri, A., Panzieri, S. and Pascucci, F. 2009. A spatially structured genetic algorithm for multi-robot localization. Intelligent Service Robotics, 2(1), 31-40.
- Belkhouche, F. and Jin, T. 2009, October. An approach for collaborative path planning in multi- robot systems. In Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on (pp. 2356-2361). IEEE.
- Ulusoy, A., Smith, S. L., Ding, X. C. and Belta, C. 2012, May. Robust multi-robot optimal path planning with temporal logic constraints. In Robotics and Automation (ICRA), 2012 IEEE International Conference on (pp. 4693-4698). IEEE.
- Ulusoy, A., Smith, S. L., Ding, X. C., Belta, C. and Rus, D. 2013. Optimality and robustness in multi- robot path planning with temporal logic constraints. The International Journal of Robotics Research, 32(8), 889-911.
- Otte, M. and Correll, N. 2013. Any-com multi-robot path-planning: Maximizing collaboration for variable bandwidth. In Distributed Autonomous Robotic Systems (pp. 161-173). Springer Berlin Heidelberg.
- Fan, J., Fei, M., Shao, L. and Huang, F. 2008. A Novel Multi-robot Coordination Method Based on Reinforcement Learning. In Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (pp. 1198- 1205). Springer Berlin Heidelberg.
- Pereda, J., Martín-Ortiz, M., de Lope, J., and de la Paz, F. 2011. Study of a multi-robot collaborative task through reinforcement learning. In Foundations on Natural and Artificial Computation (pp. 185-191). Springer Berlin Heidelberg.
- Basilico, N., and Amigoni, F. 2011. Exploration strategies based on multi-criteria decision making for searching environments in rescue operations. Autonomous Robots, 31(4), 401-417.
- Jolly, K. G., Kumar, R. S., and Vijayakumar, R. 2010. Intelligent task planning and action selection of a mobile robot in a multi-agent system through a fuzzy neural network approach. Engineering Applications of Artificial Intelligence, 23(6), 923-933.
- Korsah, G. A., Kannan, B., Browning, B., Stentz, A. and Dias, M. B. 2012, May. xBots: An approach to generating and executing optimal multi-robot plans with cross-schedule dependencies. In Robotics and Automation (ICRA), 2012 IEEE International Conference on (pp. 115-122). IEEE.
- Khamis, A. M., Elmogy, A. M. and Karray, F. O. 2011. Complex task allocation in mobile surveillance systems. Journal of Intelligent and Robotic Systems, 64(1), 33-55.
- Dasgupta, P. and Hoeing, M. 2008. Dynamic pricing algorithms for task allocation in multi-agent swarms. In Massively Multi-Agent Technology (pp. 64-79). Springer Berlin Heidelberg.
- Zhang, Z., Xu, D., Liu, X. and Zhao, J. 2009, December. Self-Organizing Task Allocation of Multi- robot. In Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on (pp. 286-289). IEEE.
- Xu, Z., Xia, F. and Zhang, X. 2009. Multi-robot dynamic task allocation using modified ant colony system. In Artificial Intelligence and Computational Intelligence (pp. 288-297). Springer Berlin Heidelberg.
- Shi, Z., Wei, J., Wei, X., Tan, K. and Wang, Z. 2010, July. The task allocation model based on reputation for the heterogeneous multi-robot collaboration system. In Intelligent Control and Automation (WCICA), 2010 8 th World Congress on (pp. 6642- 6647). IEEE.
- Tolmidis, A. T. and Petrou, L. 2013. Multi-objective optimization for dynamic task allocation in a multi- robot system. Engineering Applications of Artificial Intelligence, 26(5), 1458-1468.
- Brogårdh, T. 2009. Robot control overview: An industrial perspective. Modeling, Identification and Control, 30(3), 167.
- Pham, V. C. and Juang, J. C. 2013. A Multi-Robot, Cooperative, and Active SLAM Algorithm for Exploration. International Journal of Innovative Computing, Information and Control, 9(6).
- Liu, Y., Fan, X. and Zhang, H. 2013. A fast map merging algorithm in the field of multirobot SLAM. The Scientific World Journal, 2013.
- Yi, Z., Yan-Le, L. and Yuan, L. 2011, July. Multi- robot map building based on Ad hoc network communication. In Control Conference (CCC), 2011 30 th Chinese (pp. 4007-4010). IEEE.
- Lee, H., Cho, Y., and Lee B. 2013. Accurate map merging with virtual emphasis for multi-robot systems. Electronics Letters, 49(15), 932-934.
- Sugiyama, H., Tsujioka, T. and Murata, M. 2013. Real-time exploration of a multi-robot rescue system in disaster areas. Advanced Robotics, 27(17), 1313- 1323.
- Khan, M. T., Chan, B., Khan, A., Haq, Z., and Iqbal, J. 2012. Optimized Dynamic Task Allocation and Priority Assignments in an Immunized Autonomous Multi-Robot Search and Rescue Operation. SCIENCE AND TECHNOLOGY, 15(2), 129-145.
- Suh, J. and Woo, C. W. 2010. A Framework for Collaborative Aspects of Intelligent Service Robot. In Machine Learning and Systems Engineering (pp. 17- 29). Springer Netherlands.
- Leite, I., Martinho, C. and Paiva, A. 2013. Social robots for long-term interaction: a survey. Inter- national Journal of Social Robotics, 5(2), 291-308.