Abstract
Firefighters are constantly exposed to the danger of hot, dark, and toxic fire environments during their firefighting operations and suffer injuries now and then. Today, firefighting robots are gradually deployed to support fire services and enter the explosive, toxic, and smoky fire scene for detection, mitigation, and rescue. Robotic firefighting aims to reduce the risk of casualties and improve disposal efficiency significantly. However, firefighting robots are still far from massive applications, because of the problematic remote control in complex fire incidents and their limited autonomy and small working range. There is still an urgent need for intelligent and autonomous firefighting robots, as well as research and development to expand their firefighting tasks and reliability. This chapter reviews the development of firefighting robots and UAVs over the last six decades, from early master-slave remote control to the latest sensor-driven semi-autonomous control. It also summarizes the classification of firefighting robots and their respective development directions. Finally, we point out the key technologies and challenges in the autonomous intelligent firefighting robots and predict the future application of firefighting robots and their interaction with fire services.
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References
H.P. Moravec, Robot, Encycl. Br (2023). https://www.britannica.com/technology/robot-technology
G. Steinbauer, Expert Systems (Graz ) Heuristic Search ( Klagenfurt ) Shakey, the Robot office environment (n.d.), pp. 1–58.
N.G. Hockstein, C.G. Gourin, R.A. Faust, D.J. Terris, A history of robots: From science fiction to surgical robotics. J. Robot. Surg. 1, 113–118 (2007). https://doi.org/10.1007/s11701-007-0021-2
B.Y. Lattimer, X. Huang, M.A. Delichatsios, Y.A. Levendis, K. Kochersberger, S. Manzello, P. Frank, T. Jones, J. Salvador, C. Delgado, E. Angelats, M.E. Parés, D. Martín, S. McAllister, S. Suzuki, Use of unmanned aerial systems in outdoor firefighting. Fire Technol. (2023). https://doi.org/10.1007/s10694-023-01437-0
K. Miyazawa, Fire robots developed by the Tokyo fire department. Adv. Robot. 16, 553–556 (2002). https://doi.org/10.1163/156855302320535953
A. Kumar, A. Gaur, A. Singh, A. Kumar, K.S. Kulkarni, S. Lala, K. Kapoor, V. Srivastava, S.C. Mukhopadhyay, Fire sensing technologies: A review. IEEE Sens. J. 19, 3191–3202 (2019). https://doi.org/10.1109/JSEN.2019.2894665
P. Liu, H. Yu, S. Cang, L. Vladareanu, Robot-assisted smart firefighting and interdisciplinary perspectives, in 2016 22nd int conf autom comput icac 2016 tackling new challenges autom comput (2016), pp. 395–401. https://doi.org/10.1109/IConAC.2016.7604952
R. Bogue, The role of robots in firefighting. Ind. Rob. 48, 174–178 (2020). https://doi.org/10.1108/IR-10-2020-0222
A.O. Oke, A. Afolabi, Development of a robotic arm for dangerous object disposal, in 2014 6th Int Conf Comput Sci Inf Technol CSIT 2014—Proc (2014), pp. 153–160. https://doi.org/10.1109/CSIT.2014.6805994
R. Edlinger, C. Fols, A. Nuchter, An innovative pick-up and transport robot system for casualty evacuation, in SSRR 2022—IEEE int symp safety, secur rescue robot (2022), pp. 67–73. https://doi.org/10.1109/SSRR56537.2022.10018818
Y. Tamura, H. Amano, J. Ota, Analysis of firefighting skill with a teleoperated robot. Abs. Rob. J. 7(1) (2020). https://doi.org/10.1186/s40648-020-00177-y
Y. Tamura, H. Amano, J. Ota, Analysis of firefighting skill with a teleoperated robot, ROBOMECH J. 7, (2020). https://doi.org/10.1186/s40648-020-00177-y
P. Biswal, P.K. Mohanty, Development of quadruped walking robots: A review. Ain Shams Eng. J. 12, 2017–2031 (2021). https://doi.org/10.1016/j.asej.2020.11.005
M. Bjelonic, C.D. Bellicoso, Y. De Viragh, D. Sako, F.D. Tresoldi, F. Jenelten, M. Hutter, Keep rollin’-whole-body motion control and planning for wheeled quadrupedal robots. IEEE Robot. Autom. Lett. 4, 2116–2123 (2019). https://doi.org/10.1109/LRA.2019.2899750
Á. Madridano, A. Al-Kaff, P. Flores, D. Martín, A. de la Escalera, Software architecture for autonomous and coordinated navigation of uav swarms in forest and urban firefighting. Appl. Sci. 11, 1–36 (2021). https://doi.org/10.3390/app11031258
J.J. Roldán-Gómez, E. González-Gironda, A. Barrientos, A survey on robotic technologies for forest firefighting: Applying drone swarms to improve firefighters’ efficiency and safety. Appl. Sci. 11, 1–18 (2021). https://doi.org/10.3390/app11010363
M.M. Valero, O. Rios, E. Planas, E. Pastor, Automated location of active fire perimeters in aerial infrared imaging using unsupervised edge detectors. Int. J. Wildl. Fire. 27, 241–256 (2018). https://doi.org/10.1071/WF17093
P. Pecho, P. Magdolenová, M. Bugaj, Unmanned aerial vehicle technology in the process of early fire localization of buildings. Transp. Res. Procedia. 40, 461–468 (2019). https://doi.org/10.1016/j.trpro.2019.07.067
H. Qin, J.Q. Cui, J. Li, Y. Bi, M. Lan, M. Shan, W. Liu, K. Wang, F. Lin, Y.F. Zhang, B.M. Chen, Design and implementation of an unmanned aerial vehicle for autonomous firefighting missions, in IEEE Int Conf Control Autom ICCA 2016-July (2016), pp. 62–67. https://doi.org/10.1109/ICCA.2016.7505253
C. Viegas, B. Chehreh, J. Andrade, J. Lourenço, Tethered UAV with combined multi-rotor and water jet propulsion for forest fire fighting. J. Intell. Robot. Syst. Theory Appl. 104, 1–13 (2022). https://doi.org/10.1007/s10846-021-01532-w
J. Whitman, N. Zevallos, M. Travers, H. Choset, P. Liljebäck, Ø. Stavdahl, A. Beitnes, Snake robot urban search after the 2017 Mexico City Earthquake, in 2018 IEEE Int symp safety, Secur rescue robot SSRR 2018 (2006), pp. 7–12. https://doi.org/10.1109/SSRR.2018.8468633
Shipboard Autonomous Firefighting Robot (SAFFiR)—Office of Naval Research (2016). http://www.onr.navy.mil/en/MediaCenter/Fact-Sheets/Shipboard-Robot-Saffir.aspx
H. Ando, Y. Ambe, T. Yamaguchi, M. Konyo, K. Tadakuma, S. Maruyama, S. Tadokoro, Fire fighting tactics with aerial hose-type robot “dragon firefighter,” in Proc IEEE work adv robot its soc impacts, ARSO 2019-Octob (2019), pp. 291–297. https://doi.org/10.1109/ARSO46408.2019.8948716
P. Sun, R. Bisschop, H. Niu, X. Huang, A review of battery fires in electric vehicles (Springer US, 2020). https://doi.org/10.1007/s10694-019-00944-3
K.A.P. Perumal, M.A.M. Ali, Z.H. Yahya, Fire fighter robot with night vision camera, in Proc—019 IEEE 15th Int Colloq Signal Process. Its Appl CSPA 2019 (2019), pp. 270–274. https://doi.org/10.1109/CSPA.2019.8696077
A.E. Çetin, K. Dimitropoulos, B. Gouverneur, N. Grammalidis, O. Günay, Y.H. Habiboǧlu, B.U. Töreyin, S. Verstockt, Video fire detection—Review. Digit. Signal Process. A Rev. J. 23, 1827–1843 (2013). https://doi.org/10.1016/j.dsp.2013.07.003
J.W. Starr, B.Y. Lattimer, Evaluation of navigation sensors in fire smoke environments. Fire Technol. 50, 1459–1481 (2014). https://doi.org/10.1007/s10694-013-0356-3
J. Zhu, W. Li, D. Lin, H. Cheng, G. Zhao, Intelligent fire monitor for fire robot based on infrared image feedback control. Fire Technol. 56, 2089–2109 (2020). https://doi.org/10.1007/s10694-020-00964-4
M. Bhattarai, M. Martinez-Ramon, A deep learning framework for detection of targets in thermal images to improve firefighting. IEEE Access. 8, 88308–88321 (2020). https://doi.org/10.1109/ACCESS.2020.2993767
J.H. Kim, S. Jo, B.Y. Lattimer, Feature selection for intelligent firefighting robot classification of fire, smoke, and thermal reflections using thermal infrared images, J. Sensors. 2016, (2016). https://doi.org/10.1155/2016/8410731
J.H. Kim, J.W. Starr, B.Y. Lattimer, Firefighting robot stereo infrared vision and radar sensor fusion for imaging through smoke. Fire Technol. 51, 823–845 (2015). https://doi.org/10.1007/s10694-014-0413-6
J.H. Kim, B.Y. Lattimer, Real-time probabilistic classification of fire and smoke using thermal imagery for intelligent firefighting robot. Fire Safety. J. 7240–7249 (2015). https://doi.org/10.1016/j.firesaf.2015.02.007
F. Ding, A. Palffy, D.M. Gavrila, C.X. Lu, Hidden Gems: 4D radar scene flow learning using cross-modal supervision (2023)
P.F. McManamon, Introduction to LiDAR, LiDAR Technol. Syst., 1–18 (2019). https://doi.org/10.1117/3.2518254.ch1
D. Kohl, J. Kelleter, H. Petig, Detection of fires by gas sensors. Sensors Updat. 9, 161–223 (2001). https://doi.org/10.1002/1616-8984(200105)9:1%3c161::aid-seup161%3e3.0.co;2-a
X. Zhang, X. Wu, X. Huang, Smart real-time forecast of transient tunnel fires by a dual-agent deep learning model. Tunn. Undergr. Sp. Technol. 129, 104631 (2022). https://doi.org/10.1016/j.tust.2022.104631
J.-H. Park, B.-W. Kim, D.-J. Park, M.-J. Kim, A system architecture of wireless communication for fire-fighting robots. IFAC (2008). https://doi.org/10.3182/20080706-5-kr-1001.00892
G.N. DeSouza, A.C. Kak, Vision for mobile robot navigation: A survey. IEEE Trans. Pattern Anal. Mach. Intell. 24, 237–267 (2002). https://doi.org/10.1109/34.982903
K. Dhwaj, J.M. Kovitz, H. Tian, L.J. Jiang, T. Itoh, Half-mode cavity-based planar filtering antenna with controllable transmission zeroes. IEEE Antennas Wirel. Propag. Lett. 17, 833–836 (2018). https://doi.org/10.1109/LAWP.2018.2818058
S. Thrun, Probabilistic robotics. Commun. ACM 45, 52–57 (2002). https://doi.org/10.1145/504729.504754
K. Qian, Z. He, X. Zhang, 3D Point cloud generation with millimeter-wave radar, Proc. ACM Interactive, Mobile, Wearable Ubiquitous Technol. 4 (2020). https://doi.org/10.1145/3432221.
D. Scaramuzza, F. Fraundorfer, Tutorial: Visual odometry. IEEE Robot. Autom. Mag. 18, 80–92 (2011). https://doi.org/10.1109/MRA.2011.943233
K. Saulnier, N. Atanasov, G.J. Pappas, V. Kumar, Information theoretic active exploration in signed distance fields, in Proc—IEEE International Conference Robot Autom (2020), pp. 4080–4085. https://doi.org/10.1109/ICRA40945.2020.9196882
J. Borenstein, Y. Koren, Real-time obstacle avoidance for fast mobile robots. IEEE Trans. Syst. Man Cybern. 19, 1179–1187 (1989). https://doi.org/10.1109/21.44033
J. Gancet, E. Motard, A. Naghsh, C. Roast, M.M. Arancon, L. Marques, User interfaces for human robot interactions with a swarm of robots in support to firefighters, in Proc—IEEE International Conference Robot Autom (2010), pp. 2846–2851. https://doi.org/10.1109/ROBOT.2010.5509890
International Electrotechnical Commission(IEC), IEC 60529:1989+AMD1:1999+AMD2:2013 CSV—Degrees of protection provided by enclosures (IP Code), (2013). https://webstore.iec.ch/publication/2452
T. AlHaza, A. Alsadoon, Z. Alhusinan, M. Jarwali, K. Alsaif, New concept for indoor fire fighting robot, procedia—Soc. Behav. Sci. 195, 2343–2352 (2015). https://doi.org/10.1016/j.sbspro.2015.06.191
B. Sophia, KiwiBot catches fire outside Martin Luther King Jr. Student Union, Dly (Californian, 2023). https://www.dailycal.org/2018/12/14/kiwibot-catches-fire-outside-mlk-student-union
W. Wang, W. Gao, S. Zhao, W. Cao, Z. Du, Robot protection in the hazardous environments, in Robot Oper Hazard Environment (InTech, 2017). https://doi.org/10.5772/intechopen.69619.
Y. Liu, H. Niu, J. Liu, X. Huang, Layer-to-layer thermal runaway propagation of open-circuit cylindrical li-ion batteries: Effect of ambient pressure, J. Energy Storage. 55, 105709 (2022). https://doi.org/10.1016/j.est.2022.105709.
J. Sun, B. Mao, Q. Wang, Progress on the research of fire behavior and fire protection of lithium ion battery. Fire Saf. J. 120, 103119 (2021). https://doi.org/10.1016/j.firesaf.2020.103119
J. Weng, D. Ouyang, Y. Liu, M. Chen, Y. Li, X. Huang, J. Wang, Alleviation on battery thermal runaway propagation: Effects of oxygen level and dilution gas. J. Power. Sources 509, 230340 (2021). https://doi.org/10.1016/j.jpowsour.2021.230340
Q. Wang, B. Mao, S.I. Stoliarov, J. Sun, A review of lithium ion battery failure mechanisms and fire prevention strategies. Prog. Energy Combust. Sci. 73, 95–131 (2019). https://doi.org/10.1016/j.pecs.2019.03.002
X. Liu, M. Zhang, W. Liu, Design method to modular robot system, in Proc. 2009 ASME/IFToMM Int Conf Reconfigurable Mech Robot ReMAR 2009 (2009), pp. 521–528
M.S. Innocente, P. Grasso, Self-organising swarms of firefighting drones: Harnessing the power of collective intelligence in decentralised multi-robot systems. J. Comput. Sci. 34, 80–101 (2019). https://doi.org/10.1016/j.jocs.2019.04.009
J. Saez-Pons, L. Alboul, J. Penders, L. Nomdedeu, Multi-robot team formation control in the GUARDIANS project. Ind. Rob. 37, 372–383 (2010). https://doi.org/10.1108/01439911011044831
Acknowledgements
This work is funded by the Hong Kong Research Grants Council Theme-based Research Scheme (T22-505/19-N) and The Hong Kong Polytechnic University (P0045918).
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Wang, M., Chen, X., Huang, X. (2024). Robotic Firefighting: A Review and Future Perspective. In: Huang, X., Tam, W.C. (eds) Intelligent Building Fire Safety and Smart Firefighting. Digital Innovations in Architecture, Engineering and Construction. Springer, Cham. https://doi.org/10.1007/978-3-031-48161-1_20
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