The Application Status and Technological Progress of Service Robots in Home Automation

Kangming He

doi:10.54097/01fb6569

Authors

Kangming He

DOI:

https://doi.org/10.54097/01fb6569

Keywords:

Service robot, Floor cleaning robot, Human-computer interaction.

Abstract

This paper examines the application status and technological progress of service robots in home automation, with a particular focus on floor cleaning robots and companion robots for Alzheimer's patients. The evolution of service robots has been driven by advancements in artificial intelligence, sensor technology, and autonomous navigation, transforming them into indispensable tools in modern households. Floor cleaning robots, equipped with advanced sensors and efficient algorithms, have revolutionized routine household chores by autonomously maintaining clean floors. Companion robots, such as Pepper and those developed in projects like RAMCIP, have shown promise in assisting Alzheimer's patients, offering both practical and therapeutic support. The article also delves into the key technologies enabling these robots, including sensor systems, obstacle avoidance algorithms, and human-computer interaction. Despite the significant progress, challenges remain, particularly in optimizing obstacle avoidance, enhancing HCI, and addressing ethical concerns in caregiving roles. The article concludes by highlighting the future potential of service robots to further integrate into smart homes, offering personalized and context-aware solutions to meet the unique needs of individual households.

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References

[1] Engelhardt, K. G., et al. "Human-robot integration for service robotics." Human-robot interaction. Taylor & Francis Ltd., London, UK, 1992.

[2] Executive Summary World Robotics 2017 Service Robots. 2018.

[3] Sylla, Cristina, et al. “Smart Toys, Smart Tangibles, Robots and Other Smart Things for Children.” International Journal of Child-Computer Interaction, vol. 33, Sept. 2022, p. 100489, https://doi.org/10.1016/j.ijcci.2022.100489. Accessed 9 June 2022.

[4] Ou Yang, Fang-Chuan, et al. “Effect of Augmented Reality-Based Virtual Educational Robotics on Programming Students’ Enjoyment of Learning, Computational Thinking Skills, and Academic Achievement.” Computers & Education, vol. 195, 1 Apr. 2023, p. 104721, www.sciencedirect.com/science/article/abs/pii/S0360131522002925, https://doi.org/10.1016/j.compedu.2022.104721.

[5] Pouyan Esmaeilzadeh, and Mahed Maddah. “Robotic Companions and Healthy Aging: A Mixed-Methods Exploration of Older Adults’ Perspectives and Insights.” Technology in Society, vol. 78, 1 Aug. 2024, pp. 102689–102689, https://doi.org/10.1016/j.techsoc.2024.102689. Accessed 19 Aug. 2024.

[6] Zeng, Ying, et al. “Retrospective of Interdisciplinary Research on Robot Services (1954–2023): From Parasitism to Symbiosis.” Technology in Society, vol. 78, 1 Sept. 2024, pp. 102636–102636, https://doi.org/10.1016/j.techsoc.2024.102636. Accessed 19 Aug. 2024.

[7] Wang, Qi, et al. “Multi-Style Learning for Adaptation of Perception Intelligence in Home Service Robots.” Pattern Recognition Letters, vol. 151, Nov. 2021, pp. 243–251, https://doi.org/10.1016/j.patrec.2021.08.026. Accessed 10 Apr. 2022.

[8] Keating, Norah. "A research framework for the United Nations Decade of Healthy Ageing (2021–2030)." European Journal of Ageing 19.3 (2022): 775-787.

[9] Vaussard, F., et al. “Lessons Learned from Robotic Vacuum Cleaners Entering the Home Ecosystem.” Robotics and Autonomous Systems, vol. 62, no. 3, Mar. 2014, pp. 376–391, https://doi.org/10.1016/j.robot.2013.09.014.

[10] M, Manasa, et al. “Smart Vacuum Cleaner.” Global Transitions Proceedings, vol. 2, no. 2, 1 Nov. 2021, pp. 553–558, www.sciencedirect.com/science/article/pii/S2666285X21000790#:~:text=Anbumani%20V%20et%20al%20proposed%20a%20paper%20%E2%80%9CDevelopment, https://doi.org/10.1016/j.gltp.2021.08.051.

[11] Hua, Bin, et al. “Human-like Artificial Intelligent Wheelchair Robot Navigated by Multi-Sensor Models in Indoor Environments and Error Analysis.” Procedia Computer Science, vol. 105, 1 Jan. 2017, pp. 14–19, https://doi.org/10.1016/j.procs.2017.01.181. Accessed 19 Aug. 2024.

[12] Zhang, Wei, et al. “An Obstacle Avoidance Algorithm for Robot Manipulators Based on Decision-Making Force.” Robotics and Computer-Integrated Manufacturing, vol. 71, no. 71, 1 Oct. 2021, pp. 102114–102114, https://doi.org/10.1016/j.rcim.2020.102114. Accessed 14 Jan. 2024.

[13] Hewett, Thomas T., et al. ACM SIGCHI curricula for human-computer interaction. ACM, 1992.

[14] Asafa, T.B., et al. “Development of a Vacuum Cleaner Robot.” Alexandria Engineering Journal, vol. 57, no. 4, Dec. 2018, pp. 2911–2920, www.sciencedirect.com/science/article/pii/S1110016818300899, https://doi.org/10.1016/j.aej.2018.07.005.

[15] Jignesh Sindha, et al. “Rigid Body Modeling of Three Wheel Vehicle to Determine the Dynamic Stability — a Practical Approach.” IEEE International Transportation Electrification Conference, 1 Aug. 2015, https://doi.org/10.1109/itec-india.2015.7386889. Accessed 28 June 2023.

[16] Kim, Jung-Hoon, and Jun-Ho Oh. “Design and Analysis of Rotary MR Damper Using Permanent Magnet: 2nd IFAC Conference on Mechatronic Systems, Berkeley, CA, USA, 9-11 December.” IFAC-PapersOnLine, vol. 35, no. 2, 1 Dec. 2002, pp. 823–827, https://doi.org/10.1016/s1474-6670. Accessed 19 Aug. 2024.

[17] Zhang, Guozhi, et al. “Research on Ultrasonic-Electromagnetic Wave Simultaneous Sensing Sensors.” Sensors and Actuators a Physical, vol. 374, 1 Aug. 2024, pp. 115446–115446, https://doi.org/10.1016/j.sna.2024.115446. Accessed 19 Aug. 2024.

[18] Giuliano, Romeo, et al. “MuSLi: A Multi Sensor LiDAR Detection for C-V2X Networks.” Computer Networks, vol. 221, Dec. 2022, p. 109514, https://doi.org/10.1016/j.comnet.2022.109514. Accessed 14 Dec. 2022.

[19] Kim, Jonghoek. “Autonomous Robot Vacuum System Composed of a Cleaner Robot and a Dust Storage Robot.” Journal of the Franklin Institute, vol. 361, no. 11, 1 June 2024, pp. 106938–106938, https://doi.org/10.1016/j.jfranklin.2024.106938. Accessed 11 July 2024.

[20] Alzheimer's Association. 2024 Alzheimer’s Disease Facts and Figures. Alzheimer’s Association, 2024.

[21] Abdelnour, Carla, et al. “[P4–322]: ARE THERE DIFFERENCES in the OPINION of PATIENTS with ALZHEIMER DISEASE and THEIR CAREGIVERS about HAVING SUPPORT from a SERVICE ROBOT at HOME?” Alzheimer S & Dementia, vol. 13, no. 7S_Part_29, 1 July 2017, https://doi.org/10.1016/j.jalz.2017.06.2192. Accessed 19 Aug. 2024.

[22] Fischinger, David, et al. “Hobbit, a Care Robot Supporting Independent Living at Home: First Prototype and Lessons Learned.” Robotics and Autonomous Systems, vol. 75, Jan. 2016, pp. 60–78, https://doi.org/10.1016/j.robot.2014.09.029.

[23] “Low Cost Automation.” Igus.eu, 2024, www.igus.eu/robolink/robot. Accessed 30 Aug. 2024.

[24] aldebaran. “Pepper the Humanoid and Programmable Robot | SoftBank Robotics.” Www.aldebaran.com, www.aldebaran.com/en/pepper.

[25] Faisal, Mohammed, et al. “Robot-Based Solution for Helping Alzheimer Patients.” SLAS Technology, vol. 29, no. 3, 1 May 2024, pp. 100140–100140, https://doi.org/10.1016/j.slast.2024.100140. Accessed 13 May 2024.

[26] Abdelnour, Carla, et al. “P2-399: RAMCIP PROJECT, a ROBOTIC ASSISTANT to SUPPORT ALZHEIMER’S DISEASE PATIENTS at HOME: A NOVEL APPROACH in CAREGIVING.” Alzheimer’s & Dementia, vol. 12, no. 7, 1 July 2016, https://doi.org/10.1016/j.jalz.2016.06.1610. Accessed 4 July 2023.

[27] Sauer, Florian, et al. “Development of an Analytical Model for Correlation with Workpiece Roughness in Stream Finishing Using a LiDar Sensor.” Procedia CIRP, vol. 123, 1 Jan. 2024, pp. 238–243, https://doi.org/10.1016/j.procir.2024.05.043. Accessed 19 Aug. 2024.

[28] Wang, Shun, et al. “Effects of Camera External Parameters Error on Measurement Accuracy in Monocular Vision.” Measurement, vol. 229, 1 Apr. 2024, pp. 114413–114413, https://doi.org/10.1016/j.measurement.2024.114413. Accessed 19 Aug. 2024.

[29] Sun, Kangjian, et al. “Nonlinear Optimization of Optical Camera Multiparameter via Triple Integrated Gradient-Based Optimizer Algorithm.” Optics & Laser Technology, vol. 179, 1 Dec. 2024, pp. 111294–111294, https://doi.org/10.1016/j.optlastec.2024.111294. Accessed 30 Aug. 2024.

[30] Aizat, Muhammad, et al. “A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment toward Autonomous Capability.” IEEE Transactions on Instrumentation and Measurement, vol. 73, 2024.

[31] Kavraki, L.E., et al. “Probabilistic Roadmaps for Path Planning in High-Dimensional Configuration Spaces.” IEEE Transactions on Robotics and Automation, vol. 12, no. 4, 1996, pp. 566–580, https://doi.org/10.1109/70.508439.

[32] Wilkinson, Jens. “The Strong Robot with the Gentle Touch | RIKEN.” Www.riken.jp, 23 Feb. 2015, www.riken.jp/en/news_pubs/research_news/pr/2015/20150223_2/.

[33] Wu, Stephen, et al. “Deep Learning in Clinical Natural Language Processing: A Methodical Review.” Journal of the American Medical Informatics Association, vol. 27, no. 3, 3 Dec. 2019, pp. 457–470, academic.oup.com/jamia/article-abstract/27/3/457/5651084, https://doi.org/10.1093/jamia/ocz200.

[34] Yang, Ping, et al. “Bit Rate Selection Technology of Image Processing Based on Artificial Intelligence in MPEG-DASH Adaptive Streaming Media.” Journal of Radiation Research and Applied Sciences, 1 Aug. 2024, pp. 101036–101036, https://doi.org/10.1016/j.jrras.2024.101036. Accessed 19 Aug. 2024.

[35] Eran Bamani, et al. “Ultra-Range Gesture Recognition Using a Web-Camera in Human–Robot Interaction.” Engineering Applications of Artificial Intelligence, vol. 132, 1 June 2024, pp. 108443–108443, https://doi.org/10.1016/j.engappai.2024.108443. Accessed 4 July 2024.

[36] Lázaro, Esther, et al. “Efficiency of Natural Language Processing as a Tool for Analysing Quality of Life in Patients with Chronic Diseases. A Systematic Review.” Computers in Human Behavior Reports, vol. 14, 1 Mar. 2024, pp. 100407–100407, https://doi.org/10.1016/j.chbr.2024.100407.

[37] Ciardo, Francesca, et al. “Reduced Sense of Agency in Human-Robot Interaction.” Lecture Notes in Computer Science, vol. 11357, 28 Nov. 2018, pp. 441–450, https://doi.org/10.1007/978-3-030-05204-1_43. Accessed 29 Apr. 2023.

[38] Mori, Masahiro, et al. “The Uncanny Valley [from the Field].” IEEE Robotics & Automation Magazine, vol. 19, no. 2, June 2012, pp. 98–100, ieeexplore.ieee.org/abstract/document/6213238, https://doi.org/10.1109/mra.2012.2192811.