Design and Development of swarm AGV’s alliance for Search and Rescue operations

Ratan Pyla, Vikranth Pandalaneni, P Jeevan Narayana Raju, Guga Priya G

Abstract


Rapid response is essential for saving lives in search and rescue operations since the amount of time is critical. In this project, a swarm of autonomous ground vehicles (AGVs) equipped with ROS-based software architecture will be designed and built for rapid search and rescue missions. The swarm of AGVs will function autonomously to navigate through challenging areas and be outfitted with a variety of sensors, including cameras, and LIDAR. The proposed system will be capable of performing 2D mapping, live video surveillance, autonomous navigation, victim/object detection, and two-way audio communication. The goal of the project is to reduce the risk to human life in dangerous areas by providing a quick and efficient response system for search and rescue operations. A centralized management system with a de-centralized module will be created as part of the project to keep an eye on and manage the AGV horde. However, there will be a functionality to take control of a specific robot in the swarm network when needed. In difficult areas where it might not be safe for humans to operate, the suggested method will enable quick and efficient search and rescue operations.

Keywords


Search and Rescue, De-centralized Control, Swarm Robotics, Robot Operating System(ROS), Mobile Robot.

Full Text:

PDF

References


P. J. Narayana Raju, V. Gaurav Pampana, V. Pandalaneni, G. Gugapriya and C. Baskar, "Design and implementation of a rescue and surveillance robot using cross-platform application," 2022 International Conference on Inventive Computation Technologies (ICICT), Nepal, 2022, pp. 644-648, doi: 10.1109/ICICT54344.2022.9850646.

Dorigo, M., Theraulaz, G., & Trianni, V. (2020). Reflections on the future of swarm robotics. Science Robotics, 5, eabe4385.

M. Dorigo, G. Theraulaz and V. Trianni, "Swarm Robotics: Past, Present, and Future [Point of View]," in Proceedings of the IEEE , vol. 109, no. 7, pp. 1152-1165, July 2021, doi: 10.1109/JPROC.2021.3072740.

Schranz, M., Umlauft, M., Sende, M., & Elmenreich, W. (2020). Swarm robotic behaviors and current applications. Frontiers in Robotics and AI, 7, 36.

Belkacem Khaldi and Foudil Cherif. Article: An Overview of Swarm Robotics: Swarm Intelligence Applied to Multi-robotics. International Journal of Computer Applications 126(2):31-37, September 2015. Published by Foundation of Computer Science (FCS), NY, USA.

Marco Dorigo, Eric Bonabeau, Guy Theraulaz, Ant algorithms and stigmergy, Future Generation Computer Systems, Volume 16, Issue 8, 2000, Pages 851-871, ISSN 0167-739X, https://doi.org/10.1016/S0167- 739X(00)00042-X.

Winfield, A.F.T., Harper, C.J., Nembrini, J. . Towards Dependable Swarms and a New Discipline of Swarm Engineering. In: S¸ahin, E., Spears, W.M. Swarm Robotics. SR 2004. Lecture Notes in Computer Science, vol 3342. Springer, Berlin, Heidelberg.

M. S. Miah and J. Knoll, ”Area Coverage Optimization Using Heterogeneous Robots: Algorithm and Implementation,” in IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 6, pp. 1380-1388, June 2018, doi: 10.1109/TIM.2018.2800178.

L. Zhang, Y. Sun, A. Barth and O. Ma, ”Decentralized Control of Multi-Robot System in Cooperative Object Transportation Using Deep Reinforcement Learning,” in IEEE Access, vol. 8, pp. 184109-184119, 2020, doi: 10.1109/ACCESS.2020.3025287.

A. S. Kumar, G. Manikutty, R. R. Bhavani and M. S. Couceiro, "Search and rescue operations using robotic darwinian particle swarm optimization," 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017, pp. 1839-1843, doi: 10.1109/ICACCI.2017.8126112.

P. Huang, L. Zeng, X. Chen, K. Luo, Z. Zhou and S. Yu, "Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping," in IEEE Internet of Things Journal, vol. 9, no. 15, pp. 14087-14102, 1 Aug.1, 2022, doi: 10.1109/JIOT.2022.3146461.

León, J. R. C., Martínez-González, R. F., Medina, A. M., & Peralta-Pelaez, L. A. (2017). Raspberry pi and arduino uno working together as a basic meteorological station. arXiv} preprint arXiv:1711.09750

S. Kumar NT, M. Gawande, N. P. B. M, H. Verma and P. Rajalakshmi, "Mobile Robot Terrain Mapping for Path Planning using Karto Slam and Gmapping Technique," 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), New Delhi, India, 2022, pp. 1-4, doi: 10.1109/GlobConPT57482.2022.9938337.

M. -C. Yuen, K. K. Chan and K. S. Li, "Mobile App Controlled Modular Combat Robot for STEM Education," 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2021, pp. 64-68, doi: 10.1109/COMSNETS51098.2021.9352927.

M. Starks, A. Gupta, S. S. O V and R. Parasuraman, "HeRoSwarm: Fully-Capable Miniature Swarm Robot Hardware Design With Open-Source ROS Support," 2023 IEEE/SICE International Symposium on System Integration (SII), Atlanta, GA, USA, 2023, pp. 1-7, doi: 10.1109/SII55687.2023.10039174.

S. Nayak et al., "Unmanned multifunction robot for industrial and military operation over resource constrained networks: An approach," 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, 2017, pp. 286-289, doi: 10.1109/IEMCON.2017.8117221.

D. Singh, P. Zaware and A. Nandgaonkar, "Wi-Fi surveillance bot with real time audio & video streaming through Android mobile," 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, India, 2017, pp. 746-750, doi: 10.1109/RTEICT.2017.8256696.

E. Uslu, F. Çakmak, M. Balcılar, A. Akıncı, M. F. Amasyalı and S. Yavuz, "Implementation of frontier-based exploration algorithm for an autonomous robot," 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), Madrid, Spain, 2015, pp. 1-7, doi: 10.1109/INISTA.2015.7276723.

I. Z. Ibragimov and I. M. Afanasyev, "Comparison of ROS-based visual SLAM methods in homogeneous indoor environment," 2017 14th Workshop on Positioning, Navigation and Communications (WPNC), Bremen, Germany, 2017, pp. 1-6, doi: 10.1109/WPNC.2017.8250081.

https://pypi.org/project/cvlib/

http://wiki.ros.org/multirobot_map_merge

P. J. Narayana Raju, V. G. Pampana, V. Pandalaneni, G. G and C. Baskar, "Multipurpose Adaptable Robot," 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2022, pp. 1074-1077, doi: 10.1109/ICACCS54159.2022.9785181.

Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., ... & Ng, A. Y. (2009, May). ROS: an open-source Robot Operating System. In ICRA workshop on open source software (Vol. 3, No. 3.2, p. 5).

Mishra, R., & Javed, A. (2018, April). ROS based service robot platform. In 2018 4th International Conference on Control, Automation and Robotics (ICCAR) (pp. 55-59). IEEE.

Crick, C., Jay, G., Osentoski, S., Pitzer, B., & Jenkins, O. C. (2017). Rosbridge: Ros for non-ros users. In Robotics Research: The 15th International Symposium ISRR (pp. 493-504). Springer International Publishing.

Hurtado, J. E., Robinett III, R. D., Dohrmann, C. R., & Goldsmith, S. Y. (2004). Decentralized control for a swarm of vehicles performing source localization. Journal of Intelligent and Robotic Systems, 41, 1-18.

Chudý, J., Popov, N., & Surynek, P. (2020, October). Emulating centralized control in multi-agent pathfinding using decentralized swarm of reflex-based robots. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3998-4005). IEEE.

https://wiki.ros.org/gmapping

Toris, R., Kammerl, J., Lu, D. V., Lee, J., Jenkins, O. C., Osentoski, S., ... & Chernova, S. (2015, September). Robot web tools: Efficient messaging for cloud robotics. In 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS) (pp. 4530-4537). IEEE.

Kusumota, V. L. P., Aroca, R. V., & Martins, F. N. (2018, November). An open source framework for educational applications using cozmo mobile robot. In 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE) (pp. 569-576). IEEE.

Anguelov, A., Trifonov, R., & Nakov, O. (2021, September). Analysis of swarm application layer protocols (SALP) used in event-driven communication. In 2021 International Conference Automatics and Informatics (ICAI) (pp. 350-353). IEEE.

Barciś, A., Barciś, M., & Bettstetter, C. (2019, August). Robots that sync and swarm: A proof of concept in ROS 2. In 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) (pp. 98-104). IEEE.

Takaya, K., Asai, T., Kroumov, V., & Smarandache, F. (2016, October). Simulation environment for mobile robots testing using ROS and Gazebo. In 2016 20th International Conference on System Theory, Control and Computing (ICSTCC) (pp. 96-101). IEEE.




DOI: https://doi.org/10.18196/jrc.v4i6.18392

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Ratan Pyla, Vikranth Pandalaneni, P Jeevan Narayana Raju, Guga Priya G

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 


Journal of Robotics and Control (JRC)

P-ISSN: 2715-5056 || E-ISSN: 2715-5072
Organized by Peneliti Teknologi Teknik Indonesia
Published by Universitas Muhammadiyah Yogyakarta in collaboration with Peneliti Teknologi Teknik Indonesia, Indonesia and the Department of Electrical Engineering
Website: http://journal.umy.ac.id/index.php/jrc
Email: jrcofumy@gmail.com


Kuliah Teknik Elektro Terbaik