A Survey on Automatic Design Methods for Swarm Robotics Systems

[1] A. S. A. B. H. V. Seeja Ga, “A Survey on Swarm Robotic Modeling, Analysis and Hardware,” in International Conference on Robotics and Smart Manufacturing (RoSMa2018), Chennai, India, 2018. Search in Google Scholar

[2] M. U. ,. M. S. a. W. E. Melanie Schranz, “Swarm Robotic Behaviors and current applications,” Frontiers in Robotics and AI, 2020. Search in Google Scholar

[3] E. F. M. B. &. M. D. Manuele Brambilla, “Swarm robotics: a review from the swarm engineering perspective,” Swarm Intelligence volume, pp. 1-41, 2013. Search in Google Scholar

[4] L. Bayındır, “A review of swarm robotics tasks,” Neurocomputing, pp. 292-321, 2016.10.1016/j.neucom.2015.05.116 Search in Google Scholar

[5] S. T. Kazadi, “Swarm engineering,” California Institute of Technology, California, USA, 2000. Search in Google Scholar

[6] R. E. J. Kennedy, “Particle swarm optimization,” in Proceedings of ICNN'95 - International Conference on Neural Networks, Perth, WA, Australia, 1995. Search in Google Scholar

[7] D. T. &. L. L. Dongshu Wang, “Particle swarm optimization algorithm: an overview.,” Soft Computing, pp. 387-408, 2018.10.1007/s00500-016-2474-6 Search in Google Scholar

[8] N. A. a. Z. I. Ab Aziz, “Asynchronous particle swarm optimization for swarm robotics,” Procedia Engineering, pp. 951-957, 2012.10.1016/j.proeng.2012.07.268 Search in Google Scholar

[9] G. K., L. L., & S. D. “Collective robotic search using hybrid techniques:Fuzzy logic and swarm intelligence inspired by nature,” Engineering Applications of Artificial Intelligence, pp. 431-441, 200910.1016/j.engappai.2008.10.002 Search in Google Scholar

[10] M. M. S. B. Dibyendu Roy1, “Study of Formation Control and Obstacle Avoidance of Swarm Robots using Evolutionary Algorithms,” in 2016 IEEE International Conference on Systems, Man, and Cybernetics • SMC, Budapest, Hungary, 2016. Search in Google Scholar

[11] K. K. S. A. A. R. V. G. B. G. H. Volodymyr Mnih, “Human-level control through deep reinforcement,” Nature, pp. 529-533, 2015.10.1038/nature1423625719670 Search in Google Scholar

[12] A. G. B. Richard S. Sutton, Reinforcement learning: An introduction, MIT press, 2018. Search in Google Scholar

[13] K. K. S. A. A. R. V. G. B. G. H. Volodymyr Mnih, “Human-level control through deep reinforcement,” Nature, pp. 529-533, 2015.10.1038/nature14236 Search in Google Scholar

[14] X. N. M. H. K. O. Z. C. Yufei Wei, “Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning,” Journal of Advanced Computational Intelligence and Intelligent Informatics, 2019. Search in Google Scholar

[15] T. Zhang and H. Mo, “Reinforcement learning for robot research: A comprehensive review and open issues,” International Journal of Advanced Robotic Systems, 2021.10.1177/17298814211007305 Search in Google Scholar

[16] Y. L. ,. Z. H. K. O. Boyin Jin, “Generating collective foraging behavior for robotic swarm using deep reinforcement learning,” Artificial Life and Robotics, pp. 588-595, 2020.10.1007/s10015-020-00642-2 Search in Google Scholar

[17] T. Y. Kazuhiro Ohkura, “Collective Behavior Acquisition of Real Robotic Swarms using Deep Reinforcement Learning,” in 2018 Second IEEE International Conference on Robotic Computing, 2018. Search in Google Scholar

[18] T. Yasuda and a. K. Ohkura, “Sharing Experience for Behavior Generation of Real Swarm Robot Systems Using Deep Reinforcement Learning,” Journal of Robotics and Mechatronics, 2019.10.20965/jrm.2019.p0520 Search in Google Scholar

[19] Y. Wei, X. Nie, M. Hiraga, K. Ohkura and Z. Car, “Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning,” Journal of Advanced Computational Intelligence Vol.23 No.5, 2019.10.20965/jaciii.2019.p0920 Search in Google Scholar

[20] Y. Song, Y. Li, X. Wang, X. Ma and J. Ruan, “An Improved Reinforcement Learning Algorithm for Cooperative Behaviors of Mobile Robots,” Journal of Control Science and Engineering, 2014.10.1155/2014/270548 Search in Google Scholar

[21] Y. Huang, S. Wu, Z. Mu, X. Long, S. Chu and G. Zhao, “A Multi-agent Reinforcement Learning Method for Swarm Robots in Space Collaborative Exploration,” in International Conference on Control, Automation and Robotics (ICCAR), Singapore, 2020.10.1109/ICCAR49639.2020.9107997 Search in Google Scholar

[22] M. Knopp, C. Aykın, J. Feldmaier and H. Shen, “Formation Control using GQ(λ) Reinforcement Learning,” in IEEE International Workshop on Robot and Human Communication (ROMAN), Lisbon, Portugal, 2017.10.1109/ROMAN.2017.8172432 Search in Google Scholar

[23] J. Wu, C. Fan and G. Wu, “Multi-agent Reinforcement Learning with Biased Experience Sharing in Swarm-robotics Domain,” in IEEE International Conference on Real-time Computing and Robotics, Irkutsk, Russia, 2019.10.1109/RCAR47638.2019.9043928 Search in Google Scholar

• A Survey on Automatic Design Methods for Swarm Robotics Systems
• Environmental Parameters Monitoring System
• Actuator control using TCP IP communication under LabVIEW USB6001 environment
• A survey for Communication security of the embedded system