STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advancements in Robotics Original Research

Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing

  1. R.G. Ghodake Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur
  2. Anuja S. Pawar Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur
  3. Prachi S. Pawar Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur
  4. Kirti S. Pujari Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur

Abstract

In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free movement. This work highlights a practical application of embedded systems and serves as a foundational step for advancing autonomous navigation research. The robot operates by continuously scanning its surroundings with the ultrasonic sensor, which measures the distance to nearby objects by sending and receiving sound waves. When an object is detected within a predetermined threshold distance, the robot automatically stops, makes a quick decision to turn either left or right, and then proceeds forward again once the path is clear. This behavior ensures smooth, collision-free movement without the need for remote control or manual supervision. The robot’s logic is implemented through simple yet effective programming on the Arduino platform, providing a clear example of real-time sensor processing, motor control, and reactive decision-making in embedded systems. Throughout this project, careful attention was given to the selection and integration of hardware components, the design of the control algorithm, and the assembly of a stable mechanical structure. We also documented the challenges encountered, such as sensor inaccuracies, motor performance issues due to battery limitations, and occasional difficulties in obstacle detection under certain environmental conditions. Additionally, extensive testing was conducted in a variety of scenarios involving different obstacle types and arrangements to evaluate the robot’s performance, reliability, and limitations. Beyond just building a working prototype, this project serves as a foundational step for exploring more advanced topics in robotics, such as path planning, Simultaneous Localization and Mapping (SLAM), and artificial intelligence-driven navigation. Future enhancements could involve adding multiple sensors for better environmental awareness, implementing more sophisticated algorithms for decision-making, and improving power management for longer operational life. Ultimately, this project highlights how fundamental conceptsin robotics and embedded systems can be taught, explored, and expanded upon using accessible technology, encouraging further innovation and learning in the field of autonomous mobile robots.

Keywords

References (74)

  1. Phan HT, Nguyen NT, Hwang D. Fake news detection: A survey of graph neural network methods. Applied Soft Computing. 2023;139:110235. doi:10.1016/j.asoc.2023.110235
  2. Gadade B, Mulani AO, Harale AD. IoT based smart school bus and student monitoring system. Natl Campano. 2024;28(1):730–737.
  3. Rao GBN, Rao KV, Kamarajugadda R, Reddy AA, Rani PP. Smart Farming for Agriculture Management Using IOT. 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS). 2023:540-544. doi:10.1109/icaccs57279.2023.10112839
  4. Mulani A, Mane PB. DWT Based Robust Invisible Watermarking. Beau Bassin (Mauritius): Scholars’ Press; 2016.
  5. Nowshin N, Ahsanul Kabir H, Sumaiya Jannat A, Kaniz Fatema K. Designing and Implementation of a Multi-purpose Quadcopter. 2018 International Conference on Information , Communication, Engineering and Technology (ICICET). 2018:1-4. doi:10.1109/icicet.2018.8533727
  6. Butnaru T, Gîrbacia F, Tîrziu F, Talabă D. Mobile Robot System Controlled Through Mobile Communications. Product Engineering. 433-442. doi:10.1007/1-4020-2933-0_26
  7. Swami SS, Mulani AO. An efficient FPGA implementation of discrete wavelet transform for image compression. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2017:3385-3389. doi:10.1109/icecds.2017.8390088
  8. B. Mane P, O. Mulani A. High Speed Area Efficient FPGA Implementation of AES Algorithm. International Journal of Reconfigurable and Embedded Systems (IJRES). 2018;7(3):157. doi:10.11591/ijres.v7.i3.pp157-165
  9. Mulani AO, Mane PB. Area Efficient High Speed FPGA Based Invisible Watermarking for Image Authentication. Indian Journal of Science and Technology. 2016;9(39). doi:10.17485/ijst/2016/v9i39/101888
  10. Kashid MM, Karande KJ, Mulani AO. IoT-Based Environmental Parameter Monitoring Using Machine Learning Approach. Cognitive Science and Technology. 2022:43-51. doi:10.1007/978-981-19-2350-0_5
  11. Nagane UP, Mulani AO. Moving object detection and tracking using MATLAB. J Sci Technol. 2021;6(1):2456–5660.
  12. Kulkarni PR, Mulani AO, Mane PB. Robust Invisible Watermarking for Image Authentication. Lecture Notes in Electrical Engineering. 2016:193-200. doi:10.1007/978-981-10-1540-3_20
  13. Ghodake RG, Mulani AO. Sensor based automatic drip irrigation system. J Res. 2016;2(2):53–56.
  14. Mandwale AJ, Mulani AO. Different Approaches For Implementation of Viterbi decoder on reconfigurable platform. 2015 International Conference on Pervasive Computing (ICPC). 2015:1-4. doi:10.1109/pervasive.2015.7086976
  15. Jadhav MM, Chavan GH, Mulani AO. Machine learning based autonomous fire combat turret. Turk J Comput Math Educ. 2021;12(2):2372–2381.
  16. Shinde G, Mulani A. A robust digital image watermarking using DWT-PCA. Int J Innov Eng Res Technol. 2019;6(4):1–7.
  17. Mane PB, Mulani AO. High throughput and area efficient FPGA implementation of AES algorithm. Int J Eng Adv Technol. 2019;8(4):519–523.
  18. Mulani AO, Mane DP. An efficient implementation of DWT for image compression on reconfigurable platform. Int J Control Theory Appl. 2017;10(15):1–7.
  19. Deshpande HS, Karande KJ, Mulani AO. Area optimized implementation of AES algorithm on FPGA. 2015 International Conference on Communications and Signal Processing (ICCSP). 2015:0010-0014. doi:10.1109/iccsp.2015.7322746
  20. Kulkarni P, Mulani AO. Robust invisible digital image watermarking using discrete wavelet transform. Int J Eng Res Technol. 2015;4(01):139–141.
  21. Mulani AO, Jadhav MM, Seth M. Painless non-invasive blood glucose concentration level estimation using PCA and machine learning. In: Artificial intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications. Boca Raton (FL): CRC Press; 2022.
  22. Singh AK, Dave M, Mohan A. Hybrid technique for robust and imperceptible image watermarking in DWT–DCT–SVD domain. Natl Acad Sci Lett. 2014;37(4):351–358. doi:10.1007/s40009-014- 0241-8.
  23. Mulani AO, Mane PB. Area optimization of cryptographic algorithm on less dense reconfigurable platform. 2014 International Conference on Smart Structures and Systems (ICSSS). 2014:86-89. doi:10.1109/icsss.2014.7006201
  24. Jadhav HM, Mulani A, Jadhav MM. Design and Development of Chatbot Based on Reinforcement Learning. Machine Learning Algorithms for Signal and Image Processing. 2022:219-229. doi:10.1002/9781119861850.ch12
  25. Mulani AO, Mane P. Secure and area efficient implementation of digital image watermarking on reconfigurable platform. Int J Innov Technol Explor Eng. 2018;8(2):56–61.
  26. Kalyankar PA, Mulani AO, Thigale SP, Chavhan PG, Jadhav MM. Scalable face image retrieval using AESC technique. J Algebraic Stat. 2022;13(3):173–176.
  27. Takale S, Mulani DA. DWT-PCA based Video Watermarking. Journal of Electronics,Computer Networking and Applied Mathematics. 2022:1-7. doi:10.55529/jecnam.26.1.7
  28. Kamble A, Mulani AO. Google assistant based device control. Int J Aquat Sci. 2022;13(1):550– 555.
  29. Kondekar RP, Mulani AO. Raspberry Pi based voice operated robot. Int J Recent Eng Res Dev. 2017;2(12):69–76.
  30. Ghodake RG, Mulani AO. Microcontroller Based Automatic Drip Irrigation System. Techno-Societal 2016. 2017:109-115. doi:10.1007/978-3-319-53556-2_12
  31. Mulani AO, Birajadar G, Ivković N, Salah B, Darlis AR. Deep Learning Based Detection of Dermatological Diseases Using Convolutional Neural Networks and Decision Trees. Traitement du Signal. 2023;40(6):2819-2825. doi:10.18280/ts.400642
  32. Boxey A, Jadhav A, Gade P, Ghanti P, Mulani AO. Face recognition using Raspberry Pi. J Image Process Intell Remote Sens. 2022;2815-0953.
  33. Patale JP, Jagadale AB, Mulani AO, Pise A. A Systematic survey on Estimation of Electrical Vehicle. Journal of Electronics,Computer Networking and Applied Mathematics. 2022:1-6. doi:10.55529/jecnam.31.1.6
  34. Gadade B, Mulani A. Automatic system for car health monitoring. Int J Innov Eng Res Technol. 2022:57–62.
  35. Shinde MR, Mulani AO. Analysis of biomedical image using wavelet transform. Int J Innov Eng Res Technol. 2015;2(7):1–7.
  36. Mandwale A, Mulani AO. Implementation of convolutional encoder and different approaches for Viterbi decoder. In: IEEE International Conference on Communications, Signal Processing Computing and Information Technologies; 2014.
  37. Mulani AO, Jadhav MM, Seth M. Painless Machine Learning Approach to Estimate Blood Glucose Level with Non-Invasive Devices. Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications. 2022:83-100. doi:10.1201/9781003220176-6
  38. Maske Y, Jagadale AB, Mulani AO, Pise AC. Development of BIOBOT system to assist COVID patient and caretakers. Eur J Mol Clin Med. 2023;10(1):3472–3480.
  39. Utpat VB, Karand DKJE, Mulani DAO. Grading of Pomegranate Using Quality Analysis. International Journal for Research in Applied Science and Engineering Technology. 2022;10(2):875-881. doi:10.22214/ijraset.2022.40409
  40. Kalker T, Depovere G, Haitsma J, Maes MJ. Video watermarking system for broadcast monitoring. SPIE Proceedings. 1999;3657:103-112. doi:10.1117/12.344661
  41. Mandwale AJ, Mulani AO. Different approaches for implementation of Viterbi decoder on reconfigurable platform. Int J Eng Res Technol. 2014;3(11):395–397.
  42. Maske Y, Jagadale MAB, Mulani DAO, Pise MAC. Implementation of BIOBOT System for COVID Patient and Caretakers Assistant using IOT. International Journal of Information technology and Computer Engineering. 2022:30-43. doi:10.55529/ijitc.21.30.43
  43. Mulani AO. Fast and Efficient VLSI Implementation of DWT for Image Compression. International Journal for Research in Applied Science and Engineering Technology. 2017;V(IX):1397-1402. doi:10.22214/ijraset.2017.9201
  44. Kamble A, Mulani AO. Home automation using Google Assistant. Purakala. 2023;32(1):1071– 1077.
  45. Pathan AN, Shejal SA, Salgar SA, Harale AD, Mulani AO. Hand gesture controlled robotic system. Int J Aquat Sci. 2022;13(1):487–493.
  46. Korke DM, Mulani AO. Design of computer/laptop independent data transfer system from one USB flash drive to another using ARM11 processor. Int J Sci Eng Technol Res. 2016;5(12):3348–3352.
  47. Amruta J Mandwale, Altaf O Mulani, SKN Sinhgad College of Engineering Korti. Implementation of High Speed Viterbi Decoder using FPGA. International Journal of Engineering Research and. 2016;V5(02). doi:10.17577/ijertv5is020074
  48. Kolekar SD, Walekar VB, Patil PS, Mulani AO, Harale AD. Password based door lock system. Int J Aquat Sci. 2022;13(1):494–501.
  49. Shinde RS, Mulani AO. Analysis of biomedical image using wavelet transform. Int J Innov Eng Res Technol. 2021;2(7):1–7.
  50. Sawant RA, Mulani AO. Automatic PCB track design machine. Int J Innov Sci Res Technol. 2022;7(9):600–604. doi:10.5281/zenodo.7127396.
  51. Abhangrao MR, Jadhav MS, Ghodke MP, Mulani A. Design and implementation of 8-bit Vedic multiplier. JournalNX. 2021 Mar 3:24–26.
  52. Gadade B, Mulani AO, Harale AD. IoT based smart school bus and student monitoring system. Naturalista Campano. 2024;28(1):730–737.
  53. Mulani DAO. A Comprehensive Survey on Semi-Automatic Solar-Powered Pesticide Sprayers for Farming. Journal of Energy Engineering and Thermodynamics. 2024:21-28. doi:10.55529/jeet.42.21.28
  54. Salunkhe DS, Mulani DA. Solar mount design using high-density polyethylene. Naturalista Campano. 2024;28(1): 1483–1493.
  55. Mulani AO, Jadhav MM, Seth M. Painless Machine Learning Approach to Estimate Blood Glucose Level with Non-Invasive Devices. Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications. 2022:83-100. doi:10.1201/9781003220176-6
  56. Kolhe VA, Pawar SY, Gohery S, Mulani AO, Sundari MSS, Kiradoo G, et al. Computational and experimental analyses of pressure drop in curved tube structural sections of Coriolis mass flow metre for laminar flow region. Ships and Offshore Structures. 2024;19(11):1974-1983. doi:10.1080/17445302.2024.2317651
  57. Basawaraj Birajadar G, Osman Mulani A, Ibrahim Khalaf O, Farhah N, G. Gawande P, Kinage K, et al. Epilepsy Identification using Hybrid CoPrO-DCNN Classifier. International Journal of Computing and Digital Systems. 2024;15(1):783-796. doi:10.12785/ijcds/160157
  58. Kedar MS, Mulani DA. IoT Based Soil, Water and Air Quality Monitoring System for Pomegranate Farming. Journal of Electronics,Computer Networking and Applied Mathematics. 2021:33-43. doi:10.55529/jecnam.12.33.43
  59. Wang J. Real‐Time Embedded Systems. 2017. doi:10.1002/9781119420712
  60. Pol DR, Manoj V, Bhalerao M, Altaf O, Mulani A. A real time IoT based system prediction and monitoring of landslides. Int J Food Nutr Sci. 2022;11(7): 5204–5223.
  61. Mulani AO, Sardey MP, Kinage K, Salunkhe SS, Fegade T, Fegade PG. ML-powered Internet of Medical Things (MLIoMT) Structure for Heart Disease Prediction. Journal of Pharmacology and Pharmacotherapeutics. 2024;16(1):38-45. doi:10.1177/0976500x241281490
  62. Aiwale S, Kolte MT, Harpale V, Bendre V, Khurge D, Bhandari S, et al. Non-invasive Anemia Detection and Prediagnosis. Journal of Pharmacology and Pharmacotherapeutics. 2024;15(4):408-416. doi:10.1177/0976500x241276307
  63. Dasig DD. Implementing IoT and Wireless Sensor Networks for Precision Agriculture. Studies in Big Data. 2019:23-44. doi:10.1007/978-981-15-0663-5_2
  64. Sethi S, Kathuria M, Kaushik T. Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread. Journal of Biomedical Informatics. 2021;120:103848. doi:10.1016/j.jbi.2021.103848
  65. Verma V, Chowdary V, Gupta MK, Mondal AK. IoT and Robotics in Healthcare. Medical Big Data and Internet of Medical Things. 2018:245-269. doi:10.1201/9781351030380-10
  66. Pol DR. Cloud based memory efficient biometric attendance system using face recognition. Stoch Model Appl. 2021;25(2):403–416.
  67. Nagtilak MAG, Ulegaddi MSN, Adat MAS, Mulani DAO. Breast Cancer Prediction using Machine Learning. International Journal of Research In Science & Engineering. 2021:55-61. doi:10.55529/ijrise.12.55.61
  68. Edward H, inventor; KNY Scheerer Corp of America, assignee. Irrigation-control device. United States patent US 1710540. 1929 Apr 23.
  69. Deo SS. Challenges in the implementation of legal aid services. J Const Law Jurisprud. 2025;8(2):33–40.
  70. Moeinaddini E, Afsari F. Robust watermarking in DWT domain using SVD and opposition and dimensional based modified firefly algorithm. Multimedia Tools and Applications. 2018;77(19):26083-26105. doi:10.1007/s11042-018-5838-3
  71. Badoni P, Raj H, Prashad S, Kumar H, Mihir, Gautam KK. IoT-Based Health Monitoring System. 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). 2024:1-6. doi:10.1109/dicct61038.2024.10532997
  72. Militante SV, Dionisio NV. Real-Time Facemask Recognition with Alarm System using Deep Learning. 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC). 2020:106-110. doi:10.1109/icsgrc49013.2020.9232610
  73. He H, Xiong R, Guo H. Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles. Applied Energy. 2012;89(1):413-420. doi:10.1016/j.apenergy.2011.08.005
  74. Nagtilak AG, Ulegaddi SN, Mane M, Mulani AO. Automatic solar powered pesticide sprayer for farming. Int J Microwave Eng Technol. 2023;9(2):7–18.
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