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MPROVIOT - Multi-Purpose IoT Rover Robot

Year 2024, Volume: 13 Issue: 3, 14 - 20, 26.09.2024
https://doi.org/10.46810/tdfd.1486465

Abstract

Robots can be used in various fields due to their flexibility and diversity. This research focuses on designing and developing a multifunctional rover robot for research, exploration, and educational purposes. The main objective of the research is to design a Rover robot platform with remote control, IoT technology. Various scenarios have been created to test the robot's different capabilities, and its performance has been observed. The collected data have been analyzed using both qualitative and quantitative methods. The developed rover robot can be successfully controlled both through RC and IoT controls. Moreover, a web server has been developed for the IoT aspect of the robot, and both arm and head camera images of the robot are transmitted as IoT. The robot's modular design ensures suitability for various tasks and makes it suitable for educational purposes. The results of this study indicate the potential of multifunctional rover robots for various applications and their effectiveness as educational tools.

References

  • Johnson J. Children, robotics, and education. Artificial Life and Robotics 2003; 7: 16–21.
  • Tadeusz M, Janusz M, Lukasz R, et al. Multipurpose Mobile Robot. Applied Mechanics and Materials 2013; 282: 152–157.
  • Zaman MTU, Ahmed MS, Sabbir H, et al. Design and Construction of a Multipurpose Robot. International Journal of Automation, Control and Intelligent Systems; 1, https://www.researchgate.net/publication/279965085_Design_and_Construction_of_a_Multipurpose_Robot (2015, accessed 17 May 2024).
  • Evripidou S, Georgiou K, Doitsidis L, et al. Educational Robotics: Platforms, Competitions and Expected Learning Outcomes. IEEE Access 2020; 8: 219534–219562.
  • Qin H, Shao S, Wang T, et al. Review of Autonomous Path Planning Algorithms for Mobile Robots. Drones 2023, Vol 7, Page 211 2023; 7: 211.
  • Tadokoro S. UN World Conference on Disaster Risk Reduction [Society News]. IEEE Robot Autom Mag 2015; 22: 176–177.
  • Matthies L, Maimone M, Johnson A, et al. Computer vision on Mars. Int J Comput Vis 2007; 75: 67–92.
  • Huang R, Li H, Suomi R, et al. Intelligent Physical Robots in Health Care: Systematic Literature Review. J Med Internet Res 2023;25:e39786 https://www.jmir.org/2023/1/e39786 2023; 25: e39786.
  • Fue K, Porter W, Barnes E, et al. Autonomous Navigation of a Center-Articulated and Hydrostatic Transmission Rover using a Modified Pure Pursuit Algorithm in a Cotton Field. Sensors 2020, Vol 20, Page 4412 2020; 20: 4412.
  • Raja R, Dutta A, Venkatesh KS. New potential field method for rough terrain path planning using genetic algorithm for a 6-wheel rover. Rob Auton Syst 2015; 72: 295–306.
  • Pauzi NAM, Mustaza SM, Yahya I. Low-cost environmental monitoring mini rover based on IoT technology. International Journal of Advanced Technology and Engineering Exploration 2021; 8: 64–72.
  • Kalita H, Gholap AS, Thangavelautham J. Dynamics and Control of a Hopping Robot for Extreme Environment Exploration on the Moon and Mars. IEEE Aerospace Conference Proceedings. Epub ahead of print 1 March 2020. DOI: 10.1109/AERO47225.2020.9172617.
  • Scassellati B, Henny Admoni, Matarić M. Robots for use in autism research. Annu Rev Biomed Eng 2012; 14: 275–294.
  • Arvin F, Espinosa J, Bird B, et al. Mona: an Affordable Open-Source Mobile Robot for Education and Research. Journal of Intelligent and Robotic Systems: Theory and Applications 2019; 94: 761–775.
  • An H, Sung W, Yoon SY. Implementation of learning by design in a synchronized online environment to teach educational robotics to inservice teachers. Educational Technology Research and Development 2022; 70: 1473–1496.
  • Boyarinov DA, Samarina AE. The Potential of Educational Robotics in Teacher Education. ARPHA Proceedings 3: 259-276 2020; 3: 259–276.
  • Vicente FR, Zapatera Llinares A, Montes Sánchez N. Curriculum analysis and design, implementation, and validation of a STEAM project through educational robotics in primary education. Computer Applications in Engineering Education 2021; 29: 160–174.
  • Chronis C, Varlamis I. FOSSBot: An Open Source and Open Design Educational Robot. Electronics 2022, Vol 11, Page 2606 2022; 11: 2606.
  • Darmawansah D, Hwang GJ, Chen MRA, et al. Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model. Int J STEM Educ 2023; 10: 1–24.
  • Yu C, Wang P. Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review. Front Neurorobot 2022; 16: 861825.
  • Wang Y, Damani M, Wang P, et al. Distributed Reinforcement Learning for Robot Teams: a Review. Current Robotics Reports 2022; 3: 239–257.
  • Çiğdem Ş, Meidute-Kavaliauskiene I, Yıldız B. Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees. Logistics 2023, Vol 7, Page 17 2023; 7: 17.
  • Garcia CA, Montalvo-Lopez W, Garcia M V. Human-Robot Collaboration Based on Cyber-Physical Production System and MQTT. Procedia Manuf 2020; 42: 315–321.

MPROVIOT – Çok Amaçlı IoT Rover Robot

Year 2024, Volume: 13 Issue: 3, 14 - 20, 26.09.2024
https://doi.org/10.46810/tdfd.1486465

Abstract

Robotlar esneklik ve çeşitlilikleriyle farklı alanlarda kullanılmaktadır. Bu çalışma, araştırma, keşif ve eğitim amaçları için çok amaçlı bir robot tasarlama ve geliştirme üzerine odaklanmaktadır. Araştırmanın ana amacı, uzaktan kumandalı ve IoT teknolojisine sahip bir Rover robot platformu tasarlamaktır. Robotun farklı yeteneklerini test etmek için çeşitli senaryolar oluşturulmuş ve robotun performansı gözlemlenmiştir. Elde edilen veriler hem nitel hem de nicel yöntemlerle analiz edilmiştir. Geliştirilen Rover robotu hem RC hem de IoT kontrolleriyle başarıyla yönetilebilmektedir. Ayrıca, robotun IoT yönü için bir web sunucusu geliştirilmiştir ve robotun hem kol hem de kafa kamerası görüntüleri IoT olarak iletilmektedir. Robotun modüler tasarımı, farklı görevler için uygun olmasını sağlamakta ve eğitim amaçlı kullanıma uygun hale getirmektedir. Bu araştırmanın sonuçları, çok amaçlı rover robotlarının farklı alanlarda kullanım potansiyeline sahip olduğunu ve eğitimde de etkili bir araç olabileceğini göstermektedir.

References

  • Johnson J. Children, robotics, and education. Artificial Life and Robotics 2003; 7: 16–21.
  • Tadeusz M, Janusz M, Lukasz R, et al. Multipurpose Mobile Robot. Applied Mechanics and Materials 2013; 282: 152–157.
  • Zaman MTU, Ahmed MS, Sabbir H, et al. Design and Construction of a Multipurpose Robot. International Journal of Automation, Control and Intelligent Systems; 1, https://www.researchgate.net/publication/279965085_Design_and_Construction_of_a_Multipurpose_Robot (2015, accessed 17 May 2024).
  • Evripidou S, Georgiou K, Doitsidis L, et al. Educational Robotics: Platforms, Competitions and Expected Learning Outcomes. IEEE Access 2020; 8: 219534–219562.
  • Qin H, Shao S, Wang T, et al. Review of Autonomous Path Planning Algorithms for Mobile Robots. Drones 2023, Vol 7, Page 211 2023; 7: 211.
  • Tadokoro S. UN World Conference on Disaster Risk Reduction [Society News]. IEEE Robot Autom Mag 2015; 22: 176–177.
  • Matthies L, Maimone M, Johnson A, et al. Computer vision on Mars. Int J Comput Vis 2007; 75: 67–92.
  • Huang R, Li H, Suomi R, et al. Intelligent Physical Robots in Health Care: Systematic Literature Review. J Med Internet Res 2023;25:e39786 https://www.jmir.org/2023/1/e39786 2023; 25: e39786.
  • Fue K, Porter W, Barnes E, et al. Autonomous Navigation of a Center-Articulated and Hydrostatic Transmission Rover using a Modified Pure Pursuit Algorithm in a Cotton Field. Sensors 2020, Vol 20, Page 4412 2020; 20: 4412.
  • Raja R, Dutta A, Venkatesh KS. New potential field method for rough terrain path planning using genetic algorithm for a 6-wheel rover. Rob Auton Syst 2015; 72: 295–306.
  • Pauzi NAM, Mustaza SM, Yahya I. Low-cost environmental monitoring mini rover based on IoT technology. International Journal of Advanced Technology and Engineering Exploration 2021; 8: 64–72.
  • Kalita H, Gholap AS, Thangavelautham J. Dynamics and Control of a Hopping Robot for Extreme Environment Exploration on the Moon and Mars. IEEE Aerospace Conference Proceedings. Epub ahead of print 1 March 2020. DOI: 10.1109/AERO47225.2020.9172617.
  • Scassellati B, Henny Admoni, Matarić M. Robots for use in autism research. Annu Rev Biomed Eng 2012; 14: 275–294.
  • Arvin F, Espinosa J, Bird B, et al. Mona: an Affordable Open-Source Mobile Robot for Education and Research. Journal of Intelligent and Robotic Systems: Theory and Applications 2019; 94: 761–775.
  • An H, Sung W, Yoon SY. Implementation of learning by design in a synchronized online environment to teach educational robotics to inservice teachers. Educational Technology Research and Development 2022; 70: 1473–1496.
  • Boyarinov DA, Samarina AE. The Potential of Educational Robotics in Teacher Education. ARPHA Proceedings 3: 259-276 2020; 3: 259–276.
  • Vicente FR, Zapatera Llinares A, Montes Sánchez N. Curriculum analysis and design, implementation, and validation of a STEAM project through educational robotics in primary education. Computer Applications in Engineering Education 2021; 29: 160–174.
  • Chronis C, Varlamis I. FOSSBot: An Open Source and Open Design Educational Robot. Electronics 2022, Vol 11, Page 2606 2022; 11: 2606.
  • Darmawansah D, Hwang GJ, Chen MRA, et al. Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model. Int J STEM Educ 2023; 10: 1–24.
  • Yu C, Wang P. Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review. Front Neurorobot 2022; 16: 861825.
  • Wang Y, Damani M, Wang P, et al. Distributed Reinforcement Learning for Robot Teams: a Review. Current Robotics Reports 2022; 3: 239–257.
  • Çiğdem Ş, Meidute-Kavaliauskiene I, Yıldız B. Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees. Logistics 2023, Vol 7, Page 17 2023; 7: 17.
  • Garcia CA, Montalvo-Lopez W, Garcia M V. Human-Robot Collaboration Based on Cyber-Physical Production System and MQTT. Procedia Manuf 2020; 42: 315–321.
There are 23 citations in total.

Details

Primary Language Turkish
Subjects Robotics, Electronics, Sensors and Digital Hardware (Other)
Journal Section Articles
Authors

Ahmet Bağbars 0009-0000-2074-5462

Muhammed Fatih Talu 0000-0003-1166-8404

Nuh Alpaslan 0000-0002-6828-755X

Publication Date September 26, 2024
Submission Date May 19, 2024
Acceptance Date July 15, 2024
Published in Issue Year 2024 Volume: 13 Issue: 3

Cite

APA Bağbars, A., Talu, M. F., & Alpaslan, N. (2024). MPROVIOT – Çok Amaçlı IoT Rover Robot. Türk Doğa Ve Fen Dergisi, 13(3), 14-20. https://doi.org/10.46810/tdfd.1486465
AMA Bağbars A, Talu MF, Alpaslan N. MPROVIOT – Çok Amaçlı IoT Rover Robot. TJNS. September 2024;13(3):14-20. doi:10.46810/tdfd.1486465
Chicago Bağbars, Ahmet, Muhammed Fatih Talu, and Nuh Alpaslan. “MPROVIOT – Çok Amaçlı IoT Rover Robot”. Türk Doğa Ve Fen Dergisi 13, no. 3 (September 2024): 14-20. https://doi.org/10.46810/tdfd.1486465.
EndNote Bağbars A, Talu MF, Alpaslan N (September 1, 2024) MPROVIOT – Çok Amaçlı IoT Rover Robot. Türk Doğa ve Fen Dergisi 13 3 14–20.
IEEE A. Bağbars, M. F. Talu, and N. Alpaslan, “MPROVIOT – Çok Amaçlı IoT Rover Robot”, TJNS, vol. 13, no. 3, pp. 14–20, 2024, doi: 10.46810/tdfd.1486465.
ISNAD Bağbars, Ahmet et al. “MPROVIOT – Çok Amaçlı IoT Rover Robot”. Türk Doğa ve Fen Dergisi 13/3 (September 2024), 14-20. https://doi.org/10.46810/tdfd.1486465.
JAMA Bağbars A, Talu MF, Alpaslan N. MPROVIOT – Çok Amaçlı IoT Rover Robot. TJNS. 2024;13:14–20.
MLA Bağbars, Ahmet et al. “MPROVIOT – Çok Amaçlı IoT Rover Robot”. Türk Doğa Ve Fen Dergisi, vol. 13, no. 3, 2024, pp. 14-20, doi:10.46810/tdfd.1486465.
Vancouver Bağbars A, Talu MF, Alpaslan N. MPROVIOT – Çok Amaçlı IoT Rover Robot. TJNS. 2024;13(3):14-20.

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