IOT AND AI – BASED AUTONOMOUS ORDER PICKUP AND DELIVERY ROVER

IOT AND AI - BASED AUTONOMOUS ORDER PICKUP AND DELIVERY ROVER

Ishant Shende¹, Adarsh Mallarapu¹, Sudhanshu Waghmare¹, Vaishnavi Dehankar¹

²Dr. (Mrs.) A. R. Kondelwar

¹Students, Department of Electronics and Telecommunication Engineering, PCE, RTMNU Nagpur Maharashtra, India

²Assistant Professor, Department of Electronics and Telecommunication Engineering, PCE, RTMNU Nagpur Maharashtra, India

 ABSTRACT

The rapid growth of e-commerce and on-demand delivery services has created a strong need for efficient, cost-effective, and contactless delivery solutions. The robotic rover is defined as a small vehicle that can move over rough ground and it is initially used by NASA for space exploration. Robotic rover fills the gap without endangering personnel involves in life-threatening condition or scenario that human sometimes needs to deal with. Order picking is one of the most expensive tasks in warehouses nowadays and at the same time one of the hardest to automate. Technical progress in automation technologies however allowed for first robotic products on fully automated picking in certain applications. This paper presents a mobile order picking robot for retail store or warehouse order fulfilment on typical packaged retail store items, equipped with obstacle detection capabilities, and capable of unlocking the storage unit. This paper presents the design and development of an IoT and AI-based autonomous robotic system capable of performing both warehouse order picking and last-mile delivery to users’ homes through a mobile application-based ordering platform. This task is especially challenging due to the variety of items which need to be recognized and manipulated by the robot.  Besides providing a comprehensive system overview the paper discusses the chosen techniques for textured object detection and manipulation in greater detail. The paper concludes with a general evaluation of the complete system and elaborates various potential avenues of further improvement.

Keywords: Autonomous Delivery Rover, Order Picking System, Object Localization, Robot Vision, Face Recognition, Object Detection, Last-Mile Delivery, Autonomous Vehicles, Internet of Things (IoT), Artificial Intelligence (AI), Mobile Application Interface, Secure Delivery System, Human-Robot Interaction.