IoT-Driven Agro-Robot with MQTT-Based Communication, Dead Reckoning Navigation, and Remote Manual Control

Abstract: Robotic autonomous navigation depends on precise localization, yet conventional dead reckoning tolerate from cumulative drift, which eventually causes large position inaccuracies. Due to their absence of adaptive corrective mechanisms, current approaches are not appropriate for long-term use in dynamic situations. The study suggests an Enhanced Dead Reckoning method that incorporates Dynamic Encoder Bias Estimation, Zero-Velocity Updates (ZUPT), and IoT-Based Drift Feedback (UWB/LoRa beacons) in order to overcome these drawbacks. By reducing cumulative drift by 73.80% and ultimate location error by 74.10%, experimental results optimize localization efficiency. The suggested approach improves IoT-driven real-time navigation by lowering latency by 20.80%, which makes it perfect for industrial automation, autonomous delivery, and robotic applications in smart warehouses. Keywords: Autonomous Navigation, Dead Reckoning, Zero-Velocity Updates (ZUPT), IoT-Based Drift Feedback, Real-Time Navigation, LoRa Beacons. Title: IoT-Driven Agro-Robot with MQTT-Based Communication, Dead Reckoning Navigation, and Remote Manual Control Author: Karthick M International Journal of Novel Research in Computer Science and Software Engineering ISSN 2394-7314 Vol. 12, Issue 1, January 2025 - April 2025 Page No: 44-50 Novelty Journals Website: www.noveltyjournals.com Published Date: 17-March-2025 DOI: https://doi.org/10.5281/zenodo.15040452 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/IoT-Driven%20Agro-Robot%20with%20MQTT-Based-17032025-8.pdf