Abstract
Autonomous robotics emerged as a research and development field nearly forty years ago, but only fifteen years ago, after the DARPA (Defense Advanced Research Projects Agency of the United States Department of Defense) challenge, autonomous mobile systems started to be considered as a solution to the transportation and service problem. This chapter is focused on autonomous (i.e., robotic) vehicles used as human transportation service from two points of view: on one hand, the autonomous vehicle that leads to intelligent transportation systems; on the other hand, autonomous vehicles used for rehabilitation or for enhancing mobility capabilities of their users. Both perspectives of autonomous systems are linked by the use of rapid prototyping techniques, aimed at converting a previously commercial product into a robotic system with a specific transportation usage. This chapter shows, in particular, two cases: two electric commercial vehicles (one golf cart and one car) converted into an autonomous robot for transporting people in cities or for executing specific tasks in sites; and an assistive vehicle (an electric scooter) used by people with reduced mobility. The design of the different components needed to achieve such automation is shown in detail herein.
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References
Carey N, Steitz C (2021) EU proposes effective ban for new fossil-fuel cars from 2035. Accessed 14 July 2021. https://www.reuters.com/business/retail-consumer/eu-proposes-effective-ban-new-fossil-fuel-car-sales-2035-2021-07-14/
Arango I, Lopez C, Ceren A (2021) Improving the autonomy of a mid-drive motor electric bicycle based on system efficiency maps and its performance. World Electric Veh J 12(2):59
Ashfaq R, Saleem M (2019) Use of global navigation satellite system (gnss) software defined receiver (sdr) for determining the 3d real time position variation in dense urban areas by averaging method. In: 2019 sixth international conference on aerospace science and engineering (ICASE), IEEE, pp 1–9
Bastos-Filho TF, Cheein FA, Müller SMT, Celeste WC, de la Cruz C, Cavalieri DC, Sarcinelli-Filho M, Amaral PFS, Perez E, Soria CM et al (2013) Towards a new modality-independent interface for a robotic wheelchair. IEEE Trans Neural Syst Rehabil Eng 22(3):567–584
Betz S (2021) The top 21 self-driving car companies paving the way for an autonomous future. Accessed 22nd July 2021. https://builtin.com/transportation-tech/self-driving-car-companies
Buechel M, Frtunikj J, Becker K, Sommer S, Buckl C, Armbruster M, Marek A, Zirkler A, Klein C, Knoll A (2015) An automated electric vehicle prototype showing new trends in automotive architectures. In: 2015 IEEE 18th international conference on intelligent transportation systems, IEEE, pp 1274–1279
De la Cruz C, Bastos TF, Cheein FAA, Carelli R (2010) Slam-based robotic wheelchair navigation system designed for confined spaces. In: 2010 IEEE international symposium on industrial electronics, IEEE, pp 2331–2336
Eppenberger N, Richter MA (2021) The opportunity of shared autonomous vehicles to improve spatial equity in accessibility and socio-economic developments in european urban areas. Eur Trans Res Rev 13(1):1–21
European Commission (2021) Electric vehicle charging - standards for recharging points for e-buses. Accessed 22nd July 2021. https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12906-Electric-vehicle-charging-standards-for-recharging-points-for-e-buses_en
González E, Cheein FAA (2018) Preliminary results on reducing the workload of assistive vehicle users: a collaborative driving approach. Int J Soc Robot 10(5):555–568
Guevara L, Auat Cheein F (2020) The role of 5g technologies: challenges in smart cities and intelligent transportation systems. Sustainability 12(16):6469
EA (2021) Global EV Outlook 2021, IEA, Paris. Accessed 22nd July 2021. https://www.iea.org/reports/global-ev-outlook-2021
Irie K, Tomono M (2012) Localization and road boundary recognition in urban environments using digital street maps. In: 2012 IEEE international conference on robotics and automation, IEEE, pp 4493–4499
Isorna Llerena F, López González E, Caparrós Mancera J, Segura Manzano F, Andújar J (2021) Hydrogen vs. battery-based propulsion systems in unipersonal vehicles–developing solutions to improve the sustainability of urban mobility. Sustainability 13(10):5721
Jeon CW, Kim HJ, Yun C, Han X, Kim JH (2021) Design and validation testing of a complete paddy field-coverage path planner for a fully autonomous tillage tractor. Biosyst Eng 208:79–97
Jeong S, Jang YJ, Kum D, Lee MS (2018) Charging automation for electric vehicles: is a smaller battery good for the wireless charging electric vehicles? IEEE Trans Autom Sci Eng 16(1):486–497
Malmgren I (2016) Quantifying the societal benefits of electric vehicles. World Electric Vehicle J 8(4):996–1007
Muramatsu S, Tomizawa T, Kudoh S, Suehiro T (2017) Mobile robot navigation utilizing the web based aerial images without prior teaching run. J Robot Mechatron 29(4):697–705
Prado AJ, Michałek MM, Cheein FA (2018) Machine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks. Eng Appl Artifi Intell 67:63–80
Raboaca MS, Bizon N, Grosu OV (2021) Optimal energy management strategies for the electric vehicles compiling bibliometric maps. Int J Energy Res 45(7):10129–10172
Rfidtires (2021) How many cars are there in the world today? Accessed 22nd July 2021. https://www.rfidtires.com/how-many-cars-world.html
Romero Schmidt J, Eguren J, Auat Cheein F (2019) Profiling the instantaneous power consumption of electric machinery in agricultural environments: an algebraic approach. Sustainability 11(7):2146
Schmidt JR, Cheein FA (2019) Assessment of power consumption of electric machinery in agricultural tasks for enhancing the route planning problem. Comput Electron Agric 163:104868
Schmidt JR, Cheein FA (2019) Prognosis of the energy and instantaneous power consumption in electric vehicles enhanced by visual terrain classification. Comput & Electr Eng 78:120–131
Shojaei K (2021) Intelligent coordinated control of an autonomous tractor-trailer and a combine harvester. Eur J Control 59:82–98
Xu Z, Qu D, Hong J, Song X (2021) Research on decision-making method for autonomous driving behavior of connected and automated vehicle. Complex Syst Complexity Sci 18(3):88–94
Yadav R, Kishor G, Kashyap K, et al (2020) Comparative analysis of route planning algorithms on road networks. In: 2020 5th international conference on communication and electronics systems (ICCES), IEEE, pp 401–406
Zangina U, Buyamin S, Aman MN, Abidin MSZ, Mahmud MSA (2021) Autonomous mobility of a fleet of vehicles for precision pesticide application. Comput Electron Agric 186:106217
Acknowledgements
This work was partially supported by Basal Project FB0008, CONICYT-PCHA/Doctorado Nacional/2018-21181420.
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Viscaíno, M., Romero, J., Auat, F. (2022). Autonomous Service Robotics. In: Auat, F., Prieto, P., Fantoni, G. (eds) Rapid Roboting. Intelligent Systems, Control and Automation: Science and Engineering, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-40003-7_7
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