Improvement of the Sensor Capability of the NAO Robot by the Integration of a Laser Rangefinder

Vincenzo Bonaiuto; Andrea Zanela

doi:10.3390/asi5060105

journal article Open Access Oct 24, 2022

Improvement of the Sensor Capability of the NAO Robot by the Integration of a Laser Rangefinder

Vincenzo Bonaiuto

Andrea Zanela

Applied System Innovation Vol. 5 No. 6 pp. 105 · MDPI AG

View at Publisher Save 10.3390/asi5060105

Abstract

This paper focuses on integrating a laser rangefinder system with an anthropomorphic robot (NAO6—Aldebaran, United Robotics Group) to improve its sensory and operational capabilities, as part of a larger project concerning the use of these systems in “assisted living” activities. This additional sensor enables the robot to reconstruct its surroundings by integrating new information with that identified by the on-board sensors. Thus, it can identify more objects in a scene and detect any obstacles along its navigation path. This feature will improve the efficiency of navigation algorithms, increasing movement competence in environments where people live and work. Indeed, these environments are characterized by details and specificities within a range of distances that best suit the new robot design. The paper presents a laser finder integration project that consists of two different parts, which are as follows: the former, the mechanical part, provided the NAO robot’s head; the latter, the software, provided the robot with proper software drivers to enable integration of the new sensor with its acquisition system. Some experimental results in an actual environment are presented.

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References

54

[1]

(2022, September 20). World Population Ageing 2019 the United Nations. Available online: https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf.

[2]

(2022, September 20). Ageing Europe Statistics on Population Developments. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Ageing_Europe_-_statistics_on_population_developments.

[3]

(2022, September 20). Ageing Europe. Looking at the Lives of Older People in the EU. Eurostat 2019 Report. Available online: https://www.age-platform.eu/publications/ageing-europe-looking-lives-older-people-eu-eurostat-2019-report.

[4]

(2022, September 20). Available online: https://www.enea.it/en/international-activities/eu-activities/strategic-initiatives/ambient-assisted-living-aal.

[5]

Tinker, A., Kellaher, L., Ginn, J., and Ribe, E. (2013). Assisted Living Platform—The Long Term Care Revolution, Housing LIN.

[6]

Savage "Robots rise to meet the challenge of caring for old people" Nature (2022) 10.1038/d41586-022-00072-z

[7]

Botticelli, M., Monteriù, A., Zanela, A., and Romano, S. (2019, January 8–11). Smart Homes and Assisted Living as an Additional Service Offered to the Users. Proceedings of the 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin), Berlin, Germany. 10.1109/icce-berlin47944.2019.8966208

[8]

Betriana "Healthcare Robots and Human Generations: Consequences for Nursing and Healthcare" Collegian (2022) 10.1016/j.colegn.2022.01.008

[9]

Jecker "You’ve got a friend in me: Sociable robots for older adults in an age of global pandemics" Ethic Inf. Technol. (2021) 10.1007/s10676-020-09546-y

[10]

Franke "Implementation of Assistive Technologies and Robotics in Long-Term Care Facilities: A Three-Stage Assessment Based on Acceptance, Ethics, and Emotions" Front. Psychol. (2021) 10.3389/fpsyg.2021.694297

[11]

Shuhaiber "Understanding users’ acceptance of smart homes" Technol. Soc. (2019) 10.1016/j.techsoc.2019.01.003

[12]

Daruwala, N.A., and Oberst, U. (2022, September 20). Individuals’ Intentions to Use Smart Home Technology: The Role of Needs Satisfaction and Frustration, Technology Acceptance and Technophobia. Available online: https://ssrn.com/abstract=4061510. 10.2139/ssrn.4061510

[13]

Sohn "Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products" Telemat. Inform. (2020) 10.1016/j.tele.2019.101324

[14]

Irato "Congruent Auditory Display and Front-Back Confusion in Sound Localization: Case of Elderly Driver" J. Transp. Res. Part F Traffic Psychol. Behav. (2018) 10.1016/j.trf.2017.06.020

[15]

Pal "Analyzing the Elderly Users’ Adoption of Smart-Home Services" IEEE Access (2018) 10.1109/access.2018.2869599

[16]

"Why it is time to stop ostracizing social robots" Nat. Mach. Intell. (2020) 10.1038/s42256-020-0202-5

[17]

Li, R., Oskoei, M.A., and Hu, H. (2013, January 13–16). Towards ROS Based Multi-robot Architecture for Ambient Assisted Living. Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK. 10.1109/smc.2013.590

[18]

Mayer, P., Beck, C., and Panek, P. (2012, January 2–5). Examples of multimodal user interfaces for socially assistive robots in Ambient Assisted Living environments. Proceedings of the 2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom), Kosice, Slovakia. 10.1109/coginfocom.2012.6422014

[19]

Pirhonen "Can robots tackle late-life loneliness? Scanning of future opportunities and challenges in assisted living facilities" Futures (2020) 10.1016/j.futures.2020.102640

[20]

Escalona "Enhancing the Ambient Assisted Living Capabilities with a Mobile Robot" Comput. Intell. Neurosci. (2019)

[21]

Mahmood, S., Ampadu, K.O., Antonopoulos, K., Panagiotou, C., Mendez, S.A.P., Podlubne, A., Antonopoulos, C., Keramidas, G., Hübner, M., and Goehringer, D. (2021). Prospects of Robots in Assisted Living Environment. Electronics, 10. 10.3390/electronics10172062

[22]

Bui, H.-D., and Chong, N.Y. (2018, January 27–29). An Integrated Approach to Human-Robot-Smart Environment Interaction Interface for Ambient Assisted Living. Proceedings of the 2018 IEEE Workshop on Advanced Robotics and Its Social Impacts (ARSO), Genova, Italy. 10.1109/arso.2018.8625821

[23]

De Freese, V., Wright, T., Robalino, I., and Vesonder, G. (2019, January 10–12). Robotic Solutions for Eldercare. Proceedings of the 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA. 10.1109/uemcon47517.2019.8992927

[24]

Jia "Human-Robot Interaction" Journal of Robotics (2018) 10.1155/2018/3879547

[25]

Torta "Attitudes toward socially assistive robots in intelligent homes: Results from laboratory studies and field trials" J. Hum. Robot. Interact. (2012)

[26]

Onyeulo, E.B., and Gandhi, V. (2020). What Makes a Social Robot Good at Interacting with Humans?. Information, 11. 10.3390/info11010043

[27]

Keizer "Using socially assistive robots for monitoring and preventing frailty among older adults: A study on usability and user experience challenges" Health Technol. (2019) 10.1007/s12553-019-00320-9

[28]

(2022, September 20). Available online: https://https://www.aldebaran.com/en/nao.

[29]

Recio, D.L., Segura, L.M., Segura, E.M., and Waern, A. (2013, January 3–6). The NAO models for the elderly. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Tokyo, Japan.

[30]

Robaczewski "Socially Assistive Robots: The Specific Case of the NAO" Int. J. Soc. Robot. (2021) 10.1007/s12369-020-00664-7

[31]

Blavette, L., Rigaud, A.-S., Anzalone, S.M., Kergueris, C., Isabet, B., Dacunha, S., and Pino, M. (2022). A Robot-Mediated Activity Using the Nao Robot to Promote COVID-19 Precautionary Measures among Older Adults in Geriatric Facilities. Int. J. Environ. Res. Public Health, 19. 10.3390/ijerph19095222

[32]

Andreasson "Affective Touch in Human–Robot Interaction: Conveying Emotion to the Nao Robot" Int. J. Soc. Robot. (2018) 10.1007/s12369-017-0446-3

[33]

(2022, September 20). Robot Operating System. Available online: https://www.ros.org.

[34]

Joglekar, P., and Kulkarni, V. (December, January 30). Humanoid Robot as a Companion for the Senior Citizens. Proceedings of the 2018 IEEE Punecon, Pune, India. 10.1109/punecon.2018.8745399

[35]

Ghosh, R., Khan, N., Migovich, M., Wilson, D., Latshaw, E., Tate, J.A., Mion, L.C., and Sarkar, N. (2022, January 20–22). Iterative User Centered Design of Robot-Mediated Paired Activities for Older Adults with Mild Cognitive Impairment (MCI). Proceedings of the International Conference on Human-Computer Interaction, Tashkent, Uzbekistan. 10.1007/978-3-031-05654-3_2

[36]

Arent, K., Kruk-Lasocka, J., Niemiec, T., and Szczepanowski, R. (2019, January 26–29). Social robot in diagnosis of autism among preschool children. Proceedings of the 2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland. 10.1109/mmar.2019.8864666

[37]

Lytridis, C., Vrochidou, E., Chatzistamatis, S., and Kaburlasos, V. (2018, January 6–8). Social engagement interaction games between children with Autism and humanoid robot NAO. Proceedings of the 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, San Sebastian, Spain. 10.1007/978-3-319-94120-2_55

[38]

Miah "NAO robot for cooperative rehabilitation training" J. Rehabil. Assist. Technol. Eng. (2019)

[39]

Siddique, T., Al Marzooqi, R., Alleem, H.R., Fareh, R., Baziyad, M.S., and Elsabe, A.Y.H. (2022, January 21–24). Evaluation of UE Exercises using NAO Robot for Poststroke Disabilities. Proceedings of the 2022 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates. 10.1109/aset53988.2022.9734987

[40]

Ochoa "Recognition of Colors through Use of a Humanoid Nao Robot in Therapies for Children with down Syndrome in a Smart City" Res. Comput. Sci. (2019) 10.13053/rcs-148-6-18

[41]

Pino "The Humanoid Robot NAO as Trainer in a Memory Program for Elderly People with Mild Cognitive Impairment" Int. J. Soc. Robot. (2020) 10.1007/s12369-019-00533-y

[42]

Stachniss, C., Leonard, J.J., and Thrun, S. (2016). Simultaneous Localization and Mapping. Handbook of Robotics, Springer. 10.1007/978-3-319-32552-1_46

[43]

Wen "Camera Recognition and Laser Detection based on EKF-SLAM in the Autonomous Navigation of Humanoid Robot" J. Intell. Robot. Syst. (2018) 10.1007/s10846-017-0712-5

[44]

Pagnottelli, S., Taraglio, S., Valigi, P., and Zanela, A. (2005, January 18–20). Visual and laser sensory data fusion for outdoor robot localisation and navigation. Proceedings of the 12th International Conference on Advanced Robotics ICAR 2005, Seattle, WA, USA. 10.1109/icar.2005.1507409

[45]

Hock "Humanoid Robot: Behaviour Synchronization and Depth Estimation" Procedia Comput. Sci. (2015) 10.1016/j.procs.2015.12.290

[46]

(2022, September 20). Available online: https://www.hokuyo-aut.jp/.

[47]

(2022, September 20). NAO Software. Available online: http://doc.aldebaran.com/1-14/family/robots/laser.html.

[48]

Oßwald, S., Görög, A., Hornung, A., and Bennewitz, M. (2011, January 25–30). Autonomous climbing of spiral staircases with humanoids. Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA. 10.1109/iros.2011.6048209

[49]

Gardecki "Implementation of an External Laser Scanner into Control System of the NAO Robot" IFAC-Pap. OnLine (2018) 10.1016/j.ifacol.2018.07.159

[50]

Su, C.-Y., Rakheja, S., and Liu, H. (2012, January 3–5). Nao Robot Localization and Navigation Using Fusion of Odometry and Visual Sensor Data. Proceedings of the International Conference on Intelligent Robotics and Applications, Montreal, QC, Canada.

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Details

Published: Oct 24, 2022
Vol/Issue: 5(6)
Pages: 105
License: View

Authors

V

Vincenzo Bonaiuto

Department of Industrial Engineering, University Rome Tor Vergata, I-00133 Rome, Italy

A

Andrea Zanela

ENEA—Robotics and Artificial Intelligence Lab, “Casaccia” Research Centre, I-00123 Rome, Italy

Funding

Italian Ministry of Economic Development Award: 2019–2021

Cite This Article

Vincenzo Bonaiuto, Andrea Zanela (2022). Improvement of the Sensor Capability of the NAO Robot by the Integration of a Laser Rangefinder. Applied System Innovation, 5(6), 105. https://doi.org/10.3390/asi5060105

Improvement of the Sensor Capability of the NAO Robot by the Integration of a Laser Rangefinder

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