A formation cooperative reconnaissance strategy for multi-UGVs in partially unknown environment

References

• Acevedo, J. J., B. C. Arrue, I. Maza, and A. Ollero. 2014. “A Decentralized Algorithm for Area Surveillance Missions Using a Team of Aerial Robots with Different Sensing Capabilities.” In Proceedings of 2014 IEEE International Conference on Robotics and Automation, Hong Kong, China, 31 May–7 June 2014: 4735–4740. New York: IEEE. doi:10.1109/ICRA.2014.6907552.
   Google Scholar
• Akash, U., N. Ananya, S. Sandeep, and R. Deepti. 2019. “Autonomous Navigation with Collision Avoidance Using ROS.” Journal of Remote Sensing GIS & Technology 5 (2): 14–18. doi:10.5281/zenodo.2670059.
   Google Scholar
• Chen, J., W. Zha, Z. Peng, and J. Zhang. 2013. “Cooperative Area Reconnaissance for Multi-UAV in Dynamic Environment.” In Proceeding of 9thAsian Control Conference, Istanbul, Turkey, 23–26 June 2013: 1–6. New York: IEEE. doi:10.1109/ASCC.2013.6606210.
   Google Scholar
• Czapla, T., and J. Wrona. 2013. “Technology Development of Military Applications of Unmanned Ground Vehicles.” In Vision Based Systems for UAV Applications, 481; 293–309. Heidelberg: Springer. doi:10.1007/978-3-319-00369-6_19.
   Google Scholar
• Das, A. K., R. Fierro, V. Kumar, J. P. Ostrowski, J. Spletzer, and C. J. Taylor. 2002. “A Vision-Based Formation Control Framework.” IEEE Transactions on Robotics and Automation 18 (5): 813–825. doi:10.1109/TRA.2002.803463.
   Google Scholar
• Dunbabin, M., and L. Marques. 2012. “Robots for Environmental Monitoring: Significant Advancements and Applications.” IEEE Robotics & Automation Magazine 19 (1): 24–39. doi:10.1109/MRA.2011.2181683.
   Web of Science ®Google Scholar
• Esenkanova, J., H. O. Ilhan, and S. Yavuz. 2013. “Pre-Mapping System with Single Laser Sensor Based on Gmapping Algorithm.” International Journal of Electrical Energy 1 (2): 97–101. doi:10.12720/IJOEE.1.2.97-101.
   Google Scholar
• Gautam, A., and S. Mohan. 2012. “A Review of Research in Multi-Robot Systems.” In Proceedings of 7thIEEE International Conference on Industrial and Information Systems, Chennai, India, 6-9 August, 1–5. New York: IEEE. doi:10.1109/ICIInfS.2012.6304778.
   Google Scholar
• Gomez, C., A. C. Hernandez, and R. Barber. 2019. “Topological Frontier-Based Exploration and Map-Building Using Semantic Information.” Sensors 19 (20): 4595. doi:10.3390/s19204595.
   PubMed Web of Science ®Google Scholar
• Grisetti, G., C. Stachniss, and W. Burgard. 2007. “Improved Techniques for Grid Mapping with Rao-Blackwellized Particle Filters.” IEEE Transactions on Robotics 23 (1): 34–46. doi:10.1109/TRO.2006.889486.
   Web of Science ®Google Scholar
• Guan, H., S. Wu, S. Xu, J. Gong, and W. Zhou. 2021. “A Planning Framework of Environment Detection for Unmanned Ground Vehicle in Unknown Off-Road Environment.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. doi:10.1177/09544070211065200.
   Google Scholar
• Kamel, M. A., X. Yu, and Y. Zhang. 2020. “Formation Control and Coordination of Multiple Unmanned Ground Vehicles in Normal and Faulty Situations: A Review.” Annual Reviews in Control 49: 128–144. doi:10.1016/j.arcontrol.2020.02.001.
   Web of Science ®Google Scholar
• Klančar, G., D. Matko, and S. Blažič. 2011. “A Control Strategy for Platoons of Differential Drive Wheeled Mobile Robot.” Robotics and Autonomous Systems 59 (2): 57–64. doi:10.1016/j.robot.2010.12.002.
   Web of Science ®Google Scholar
• Li, X., Q. H. Xing, and T. Dong. 2012. “Research on the Model of Unmanned Aerial Vehicle Formation Cooperative Reconnaissance.” In Proceedings of 2012 International Conference on System Science and Engineering, Dalian, China, 30 June–2 July 2012: 243–247. New York: IEEE. doi:10.1109/ICSSE.2012.6257184.
   Google Scholar
• Lopez-Perez, J. J., U. H. Hernandez-Belmonte, J. P. Ramirez-Paredes, M. A. Contreras-Cruz, and V. Ayala-Ramirez. 2018. “Distributed Multi-Robot Exploration Based on Scene Partitioning and Frontier Selection.” Mathematical Problems in Engineering 2018: 1–17. doi:10.1155/2018/2373642.
   Web of Science ®Google Scholar
• Muddu, R. S., D. Wu, and L. Wu. 2015. “A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments.” In Proceedings of 2015 IEEE International Conference on Robotics and Biomimetics, Zhuhai, China, 6-9 December 2015: 72–77. New York: IEEE. doi:10.1109/ROBIO.2015.7414626.
   Google Scholar
• Nieto-Granda, C., J. G. Rogers, and H. I. Christensen. 2014. “Coordination Strategies for Multi-Robot Exploration and Mapping.” The International Journal of Robotics Research 33 (4): 519–533. doi:10.1177/0278364913515309.
   Web of Science ®Google Scholar
• Prasad, A., B. Sharma, and J. Vanualailai. 2016. “A New Stabilizing Solution for Motion Planning and Control of Multiple Robots.” Robotica 34 (5): 1071–1089. doi:10.1017/S0263574714002070.
   Web of Science ®Google Scholar
• Rohmer, E., S. P. N. Singh, and M. Freese. 2013. “V-REP: A Versatile and Scalable Robot Simulation Framework.” In Proceedings of 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, 3–7 November 2013: 1321–1326. New York: IEEE. doi:10.1109/IROS.2013.6696520.
   Google Scholar
• Saptharishi, M., C. S. Oliver, C. P. Diehl, K. S. Bhat, J. M. Dolan, A. Trebi-Ollennu, and P. K. Khosla. 2002. “Distributed Surveillance and Reconnaissance Using Multiple Autonomous ATVs: CyberScout.” IEEE Transactions on Robotics and Automation 18 (5): 826–836. doi:10.1109/TRA.2002.804501.
   Google Scholar
• Sharma, S., A. Shukla, and R. Tiwari. 2016. “Multi Robot Area Exploration Using Nature Inspired Algorithm.” Biologically Inspired Cognitive Architectures 18: 80–94. doi:10.1016/j.bica.2016.09.003.
   Google Scholar
• Sharma, S., and R. Tiwari. 2016. “A Survey on Multi Robots Area Exploration Techniques and Algorithms.” In Proceedings of 2016 International Conference on Computational Techniques in Information and Communication Technologies, New Delhi, India, 11–13 March 2016: 151–158. New York: IEEE. doi:10.1109/ICCTICT.2016.7514570.
   Google Scholar
• Svenmarck, P., D. Andersson, B. Lindahl, J. Hedstrom, and P. Lif. 2009. “Tactical Reconnaissance Using Groups of Partly Autonomous UGVs.” In Proceedings of 8thInternational Conference on Engineering Psychology and Cognitive Ergonomic, San Diego, USA, 19–24 July 2015: 326–335. Berlin: Springer. doi:10.1007/978-3-642-02728-4_35.
   Google Scholar
• Tanaskovic, M., L. Fagiano, R. Smith, and M. Morari. 2014. “Adaptive Receding Horizon Control for Constrained MIMO Systems.” Automatica 50 (12): 3019–3029. doi:10.1016/j.automatica.2014.10.036.
   Web of Science ®Google Scholar
• Wagdy, A., and A. Khamis. 2013. “Adaptive Group Formation in Multirobot Systems.” Advances in Artificial Intelligence 2013: 1–15. doi:10.1155/2013/692658.
   Google Scholar
• Wang, Y., A. Liang, and H. Guan. 2011. “Frontier-Based Multi-Robot Map Exploration Using Particle Swarm Optimization.” In Proceedings of 2011 IEEE Symposium on Swarm Intelligence, Paris, France, 11–15 April 2011: 1–6. New York: IEEE. doi:10.1109/SIS.2011.5952584.
   Google Scholar
• Wang, J., R. A. Ramirez-Mendoza, and X. Tang. 2021. “Target Tracking Algorithms for Multi-UAVs Formation Cooperative Detection.” Systems Science & Control Engineering 9 (1): 417–429. doi:10.1080/21642583.2021.1916789.
   Web of Science ®Google Scholar
• Wang, S., K. Wang, and H. He. 2019. “An Autonomous Navigation Method for Mobile Robot Based on ROS.” In Proceedings of 2019 WRC Symposium on Advanced Robotics and Automation, Beijing, China, 21–22 August 2019: 284–290. New York: IEEE. doi:10.1109/WRC-SARA.2019.8931954.
   Google Scholar
• Wei, H., Q. Lv, Y. Liu, H. Lin, and B. Liang. 2019. “State Switching-Based Distributed Multi-Robot Formation Control.” Acta Armamentarii 40 (5): 1103–1112. doi:10.3969/j.issn.1000-1093.2019.05.024.
   Google Scholar