Öz
With the development of micro controllers and single-board computer technologies, robotic systems can be designed at a lower cost. In this context, a low-cost autonomous mobile robot has been developed in presented study. By adding a variety of systems to the autonomous mobile robot, remotely controlled and steered robot was designed. In presented study, Arduino and Raspberry cards were used for the autonomous mobile robot, which has a four-wheel and tracked structure. Using the Raspberry card and the Pi camera in the robot, the activities around the robot were transferred to the another computer via internet. A Wi-Fi (wireless fidelity) module was used to connect the internet. The Bluetooth module allows the camera to move right-to-left or up-to-down. The GPS (global positioning system) module has been utilized for the robot to act autonomously. With the ultrasonic distance sensor, the autonomous mobile robot can find a new route by overcoming obstacles. The battery can be charged with wireless charging without the need to be charged with a cable in case the battery weakens during movement. This robot can be used in cargo handling, patient assistance, food and beverage service, a relief vehicle in disaster situations. Designed low-cost autonomous mobile robot has distinguished features and presented development phases of robot can assist researchers.
Kaynakça
- [1] R. Siegwart, I.R. Nourbakhsh, Introduction to Autonomous mobile robots, A Bradford Book, The MIT Press, (2004).
- [2] L. Jaulin, Mobile robotics, ISTE Press Elsevier, (2007).
- [3] Q.P. Ha, L. Yen, and C. Balaguer, “Earthmoving Construction Automation with Military Applications: Past, Present and Future”, 35th International Symposium on Automation and Robotics in Construction (ISARC 2018)
- [4] Avita lBechar, Clément Vigneault,” Agricultural robots for field operations. Part 2: Operations and systems” Biosystems Engineering, Volume 153, January 2017, Pages 110- 128. [5] Andrew Wing Keung To, Gavin Paul, Dikai Liu ,“A comprehensive approach to real-time fault diagnosis during automatic grit-blasting operation by autonomous industrial robots”, Robotics and Computer-Integrated Manufacturing, Volume 49, February 2018, Pages 13-23
- [6] Stelian-Emilian Oltean, “Mobile Robot Platform with Arduino Uno and Raspberry Pi for Autonomous Navigation”, Procedia Manufacturing, Volume 32, 2019, Pages 572-577
- [7] Ashish Kumar, Sanjeev Sharma, Ritu Tiwari, Samriddhi Majumdar,” Area Exploration by Flocking of Multi Robot”, Procedia Engineering, Volume 41, 2012, Pages 377-382
- [8] Arko Wirarespati, Zulfany Erlisa Rasjid, “Automotive Security with Authorization and Tracking via GPS”, Procedia Computer Science, Volume 157, 2019, Pages 72-78
- [9] Sanjana Prasad, P.Mahalakshmi, A.John Clement Sunder, R.Swathi, “Smart Surveillance Monitoring System UsingvRaspberry PI and PIR Sensor”, Sanjana Prasad et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014, 7107-7109
- [10] Cristian Fosalau; Cristian Zet; Natanael Gafencu, “Distance Measurement for Traffic Safety Applications”, IEEE, 2018 International Conference and Exposition on Electrical And Power Engineering (EPE), 06 December 2018
- [11] Muhammed Sajjad, Mansur Nasır, Fat U U Ul, Ullah, Han Muhammed, Arun Kumar Sangaiah, Sung Wook Baik, “Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services”, Information Sciences, Volume 479, April 2019, Pages 416-431April 2019, Pages 416-431
- [12] Philip Machura, Quan Li, “A critical review on wireless charging for electric vehicles”, Renewable and Sustainable Energy Reviews, Volume 104, April 2019, Pages 209-234
Öz
Mikro denetleyicilerin ve tek kartlı bilgisayar teknolojilerinin gelişmesiyle robotik sistemler daha düşük maliyetle tasarlanabilmektedir. Bu bağlamda, sunulan çalışmada düşük maliyetli bir otonom mobil robot geliştirilmiştir. Otonom mobil robota çeşitli sistemler eklenerek uzaktan kumandalı ve yönlendirilen robot tasarlanmıştır. Bu çalışmada, dört tekerlekli ve paletli yapıya sahip otonom mobil robot için Arduino ve Raspberry kartları kullanılmıştır. Robotta bulunan Raspberry kart ve Pi kamera kullanılarak robotun etrafındaki aktiviteler internet üzerinden başka bir bilgisayara aktarılmıştır. İnternete bağlanmak için bir Wi-Fi (kablosuz uygunluk) modülü kullanılmıştır. Bluetooth modülü, kameranın sağdan sola veya yukarıdan aşağıya hareket etmesini sağlamaktadır.
Robotun otonom hareket etmesi için GPS (küresel konumlandırma sistemi) modülü kullanılmıştır. Ultrasonik mesafe sensörü ile otonom mobil robot, engelleri aşarak yeni bir rota bulabilmektedir. Hareket sırasında bataryanın zayıflaması durumunda batarya bir kablo ile şarj edilmesine gerek kalmadan kablosuz şarj ile şarj edilebilmektedir. Bu robot, felaket durumlarında bir yardım aracı olan kargo hizmetlerine yardımda, hasta yardımı, yiyecek ve içecek hizmetlerinde kullanılabilir. Tasarlanan düşük maliyetli otonom mobil robot, ayırt edici özelliklere sahiptir ve robotun sunduğu geliştirme aşamaları araştırmacılara yardımcı olabilir.
Anahtar Kelimeler
Kaynakça
- [1] R. Siegwart, I.R. Nourbakhsh, Introduction to Autonomous mobile robots, A Bradford Book, The MIT Press, (2004).
- [2] L. Jaulin, Mobile robotics, ISTE Press Elsevier, (2007).
- [3] Q.P. Ha, L. Yen, and C. Balaguer, “Earthmoving Construction Automation with Military Applications: Past, Present and Future”, 35th International Symposium on Automation and Robotics in Construction (ISARC 2018)
- [4] Avita lBechar, Clément Vigneault,” Agricultural robots for field operations. Part 2: Operations and systems” Biosystems Engineering, Volume 153, January 2017, Pages 110- 128. [5] Andrew Wing Keung To, Gavin Paul, Dikai Liu ,“A comprehensive approach to real-time fault diagnosis during automatic grit-blasting operation by autonomous industrial robots”, Robotics and Computer-Integrated Manufacturing, Volume 49, February 2018, Pages 13-23
- [6] Stelian-Emilian Oltean, “Mobile Robot Platform with Arduino Uno and Raspberry Pi for Autonomous Navigation”, Procedia Manufacturing, Volume 32, 2019, Pages 572-577
- [7] Ashish Kumar, Sanjeev Sharma, Ritu Tiwari, Samriddhi Majumdar,” Area Exploration by Flocking of Multi Robot”, Procedia Engineering, Volume 41, 2012, Pages 377-382
- [8] Arko Wirarespati, Zulfany Erlisa Rasjid, “Automotive Security with Authorization and Tracking via GPS”, Procedia Computer Science, Volume 157, 2019, Pages 72-78
- [9] Sanjana Prasad, P.Mahalakshmi, A.John Clement Sunder, R.Swathi, “Smart Surveillance Monitoring System UsingvRaspberry PI and PIR Sensor”, Sanjana Prasad et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6), 2014, 7107-7109
- [10] Cristian Fosalau; Cristian Zet; Natanael Gafencu, “Distance Measurement for Traffic Safety Applications”, IEEE, 2018 International Conference and Exposition on Electrical And Power Engineering (EPE), 06 December 2018
- [11] Muhammed Sajjad, Mansur Nasır, Fat U U Ul, Ullah, Han Muhammed, Arun Kumar Sangaiah, Sung Wook Baik, “Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services”, Information Sciences, Volume 479, April 2019, Pages 416-431April 2019, Pages 416-431
- [12] Philip Machura, Quan Li, “A critical review on wireless charging for electric vehicles”, Renewable and Sustainable Energy Reviews, Volume 104, April 2019, Pages 209-234
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | Bilgisayar Yazılımı |
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Yayımlanma Tarihi | 25 Ağustos 2020 |
| Gönderilme Tarihi | 17 Haziran 2020 |
| Kabul Tarihi | 14 Ağustos 2020 |
| Yayımlandığı Sayı | Yıl 2020 Cilt: 6 Sayı: 2 |
Gazi Journal of Engineering Sciences (GJES) publishes open access articles under a Creative Commons Attribution 4.0 International License (CC BY) 