Authors: Ms. Vaishnavi Kishor Patil, Ms. Rutuja Rajkumar Waghmare, Ms. Priyanka Ubhad, Mr. Ramgopal Sahu
Abstract: Material handling plays a crucial role in industrial automation, warehouse management, and logistics operations. Conventional transportation methods based on manual carts and trolleys require significant human effort, resulting in reduced operational efficiency, increased labor dependency, and limitations in confined working environments. To address these challenges, this paper presents OmniLiftBot, an autonomous Mecanum-wheeled robotic platform designed for smart load transportation, vertical load handling, and real-time payload monitoring. The proposed system is built around an ESP32 microcontroller and integrates Mecanum wheels for omnidirectional mobility, a scissor-lift mechanism for controlled elevation of loads, a load cell with HX711 module for weight measurement, and an ultrasonic sensor for obstacle detection. A Wi-Fi-based interface enables path selection and system control, allowing flexible operation in indoor environments. The combination of mobility, lifting, sensing, and monitoring functionalities within a single platform enhances the versatility of the system while reducing manual intervention. Experimental evaluation of the developed prototype demonstrates reliable navigation, effective lifting operation, accurate payload monitoring, and safe obstacle detection under controlled conditions. The proposed solution offers a compact, cost-effective, and scalable approach for modern material handling applications and can serve as a foundation for future intelligent warehouse automation systems.
