Conference paper 2025

Bluetooth controlled robot with ultrasonic object detection using Arduino and L293d driver

AIP Conference Proceedings
Conference · Vol. 3306 · Issue 1 · Art. 060038
Abstract

This project presents an innovative autonomous electric vehicle (EV) system that integrates Arduino, battery technology, ultrasonic sensors, and Bluetooth connectivity to create a smart and energy-efficient mode of transportation. The Arduino serves as the central control unit, efficiently managing the vehicle's operations and ensuring seamless integration of various components. Powered by a robust battery system, the EV delivers consistent performance while minimizing environmental impact through its electric propulsion. Incorporating ultrasonic sensors enhances the system's autonomy by enabling obstacle detection and avoidance, thereby improving safety and reliability. Bluetooth connectivity facilitates effortless manual control, empowering users to command the EV with ease when needed. Furthermore, the inclusion of a camera provides live streaming for a first-person view on a laptop, enhancing user experience and situational awareness. This amalgamation of technologies results in an innovative and user-friendly autonomous electric vehicle system, showcasing the potential for advancements in electric transportation mobility solutions. By harnessing the power of cutting-edge technology, this project demonstrates the feasibility and benefits of electric and autonomous vehicles in shaping the future of transportation towards sustainability and efficiency. © 2025 Author(s).

Keywords

Author Keywords

Battery technology Bluetooth connectivity Cutting edge technology Live streaming

Index Keywords

Author Affiliations
Aarupadai Veedu Institute of Technology, Chennai, TN, India
Funding & Acknowledgements
No funding information
References 10 References
1 Bélai, Igor, Experimental Electric Vehicle Platform for Autonomous Vehicle Development, Proceedings of the 31st International Conference on Cybernetics and Informatics, K and I 2022, (2022)
2 Cahya Happyanto, Dedid, The Design and Implementation of a Waypoint-Based Autonomous Control System on a Low-Level Controller for Self-Driving Vehicles, 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding, pp. 359-364, (2023)
3 Saputro, Joko Slamet, Fuzzy-proportional Controller of EPS for Autonomous Driving of Small Electric Vehicles, Proceeding - 2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications: Empowering Global Progress: Innovative Electronic and Telecommunication Solutions for a Sustainable Future, ICRAMET 2023, pp. 294-299, (2023)
4 Suprapto, Bhakti Yudho, Position Control System on Autonomous Vehicle Movement Using Fuzzy Logic Methods, 2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022, pp. 744-749, (2022)
5 Sreeraj, S. R., Functional Safety Assessment of Battery Management System of Autonomous Electric Vehicle, IEEE International Conference on Electrical, Electronics, Communication and Computers, ELEXCOM 2023, (2023)
6 Munir, Md Shirajum, Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging, IEEE Internet of Things Journal, 9, 16, pp. 15184-15203, (2022)
7 Saepulah, Ferdi, Electric Vehicle Lateral Stability Control Design Based on Brake-By-Wire System Using Fuzzy-SMC, Proceedings - ISMODE 2022: 2nd International Seminar on Machine Learning, Optimization, and Data Science, pp. 385-390, (2022)
8 Jin, Guoliang, Design and implementation of UAV autonomous inspection system for UHV dense transmission channels, 2022 2nd International Conference on Electrical Engineering and Control Science, IC2ECS 2022, pp. 619-622, (2022)
9 Mishra, Sakshi, Autonomous Advanced Aerial Mobility - An End-to-End Autonomy Framework for UAVs and Beyond, IEEE Access, 11, pp. 136318-136349, (2023)
10 An, Hao, Functional Safety Design of Lidar System for Autonomous Vehicles, 2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2022, pp. 1219-1225, (2022)
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