Smart Shopping Cart

This project aims to design and develop a prototype of an automated motorized shopping cart, capable of trailing shoppers along with the extensive ability to avoid obstacles with its built-in intelligence. This feature has enabled the study of embedding the extensive ability of trailing shoppers in a shopping complex. Given a situation with obstacles in a complex mall, the shopping cart would have the ability to evade them. This can be done because of the system is governed by a simple micro-controller (Arduino Mega 2560), with ultrasonic positioning system (Transmitter and Receiver based approach) for identifying and locating the target person, and infrared sensors system to measure the direction of obstacles. In hope of adding intelligence values the shopping cart would be design in such a way that, the purpose of extending convenience service and safety to the customer can be delivered

Exploratory analysis of Internet of Things (IoT): revolutionizing the grocery retail industry

This dissertation has investigated the consequences of implementing Internet of Things (IoT) technologies in grocery retailing by analyzing customers' perceptions of eight prominent technologies. The objective was to investigate and explore to what degree implementing these technologies would impact the customer experience. Based on secondary research, this thesis focuses on eight prominent technologies that presumably will encounter an increasing utilization in the visible future; Self-Scanning, Smart Robots, Smart Shelves, Smart Shopping Cart, Smart Fridge, Just Walk Out, Personalized Promotion/Pricing, and Mobile Apps. The technology distribution varies across different stages in the customer journey, and research indicates that IoT has the most significant impact in the pre-purchase stage. A comprehensive exploratory survey was conducted through Amazon mTurk with a wide range of respondents (n=204), giving valuable insight into demographic differences' influence on each technology perception. The investigation uncovered vast differences in several areas such as age, attitude, and privacy. Among other findings, the age segment 35-44 is more confident towards IoT technology than the age segment 55+, and shoppers with a positive attitude towards grocery shopping have higher confidence towards the technologies than shoppers with a negative attitude. On a widespread basis, the findings revealed that all eight technologies would positively affect customer experience to a certain level. Keywords: Internet of Things, Grocery Retailing, Customer Journey, Customer Experience, Autonomous Retail

CompaRob: the shopping cart assistance robot

Technology has recently been developed which offers an excellent opportunity to design systems with the ability to help people in their own houses. In particular, assisting elderly people in their environments is something that can significantly improve their quality of life. However, helping elderly people outside their usual environment is also necessary, to help them to carry out daily tasks like shopping. In this paper we present a person-following shopping cart assistance robot, capable of helping elderly people to carry products in a supermarket. First of all, the paper presents a survey of related systems that perform this task, using different approaches, such as attachable modules and computer vision. After that, the paper describes in detail the proposed system and its main features. The cart uses ultrasonic sensors and radio signals to provide a simple and effective person localization and following method. Moreover, the cart can be connected to a portable device like a smartphone or tablet, thus providing ease of use to the end user. The prototype has been tested in a grocery store, while simulations have been done to analyse its scalability in larger spaces where multiple robots could coexist.This work was partly supported by Spanish Ministry under Grant DPI2014-57746-C3 (MERBOTS Project) and by Universitat Jaume I Grants P1-1B2015-68 and PID2010-12

Autonomous Shopping Cart

In shopping centers across the United States, customers must return shopping carts after they used them by themselves. For a variety of reasons, a significant number of shopping carts are left in parking lots after being used. This results in expenses to the store in the form of damaged carts, man hours required to return each one, and law suits from customers whose cars are damaged by free carts. This project is an add-on mechanism by which allows shopping carts to return to the shopping center autonomously. The cart should be able to locate a preset track that is set in the parking lot and from this track return itself to the shopping center. This system would utilized a motor and wheels located on the rear of the cart, enabling it to be retrofitted to carts currently in use without impeding the cart’s ability to stack. This statement should evolve as your project progresses

Behavior-based Control for Service Robots inspired by Human Motion Patterns : a Robotic Shopping Assistant

Es wurde, unter Verwendung menschenähnlicher Bewegungsmuster und eines verhaltensbasierten Ansatzes, eine Steuerung für mobile Serviceroboter entwickelt, die Aufgabenplanung, globale und lokale Navigation in dynamischen Umgebungen, sowie die gemeinsame Aufgabenausführung mit einem Benutzer umfasst. Das Verhaltensnetzwerk besteht aus Modulen mit voneinander unabhängigen Aufgaben. Das komplexe Gesamtverhalten des Systems ergibt sich durch die Vereinigung der Einzelverhalten (\u27Emergenz\u27)

The disruption of a ditigal transformation in the in-store experience of a traditional grocery store

Treballs Finals del Grau de d'Administració i Direcció d'Empreses, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs: 2020-2021, Tutor: Montserrat Termes I RiféThere is a clear evidence about the fact that food and grocery markets are one of the potential industries witnessing a significant demand worldwide. Focusing on the Spanish Grocery landscape, Mercadona’s business model has transformed the company into the most popular supermarket chain in Europe and it is being ranked as one of the world’s leadings brands. Nevertheless, specific questions have been raised about how those potential industries are currently managing their economic power and success. In the recent decade we recognize the rapid development of innovative technologies and the successful implementation of the different digitalization process and automatization systems in numerous industries; nevertheless, what is less clear is how much grocery store and convenience retail shops are properly investing on the most recent trends and if they are completely opened to challenge themselves with the new area of a technological transformation

UK security breach investigations report: an analysis of data compromise cases

This report, rather than relying on questionnaires and self-reporting, concerns cases that were investigated by the forensic investigation team at 7Safe. Whilst removing any inaccuracies arising from self-reporting, the authors acknowledge that the limitation of the sample size remains. It is hoped that the unbiased reporting by independent investigators has yielded interesting facts about modern security breaches. All data in this study is based on genuine completed breach investigations conducted by the compromise investigation team over the last 18 months

Secured force guidance of an omnidirectional non-holonomic platform

For robots to operate in real life settings, they must be able to physically interact with the environment, and for instance be able to react to force-guidance interactions. However, only a few research projects have addressed such capabilities, developing prototypes that have to be pushed from their handle bars. AZIMUT-3 is a novel omnidirectional non-holonomic mobile robot developed at IntRoLab (Intelligent, Interactive and Interdisciplinary Robot Lab, Université de Sherbrooke) with force-controlled active steering. This results in a horizontal suspension effect for which the mechanical impedance of the steering actuators can be controlled. This makes the platform ideal for developing physical guidance algorithms. One such algorithm is secured shared-control, making the platform go in the direction of the user pushing the robot while still making it move safely by avoiding obstacles. Such capability is somewhat novel in the field, and the objective is to provide safe navigation with maximum control to the user. This Master's thesis has two important contributions: an algorithm to estimate the applied efforts on AZIMUT-3 from torque measurements on its wheels; an algorithm to use these efforts with obstacle detection using laser range finder data to implement a safe, shared-control approach. Experimental results using the real platform demonstrate feasibility and safe control of the system, with performances similar to using a six degrees of freedom force sensor but at lower cost and with a broader area for shared control. Our implementation also resulted in coupling the simulation environment Webots with the ROS (Robot Operating System) library from Willow Garage, to help develop our approach in simulation before using AZIMUT-3. Overall, our work is the first in demonstrating how it is possible to naturally interact by physically moving or positioning a mobile platform in real life settings, a capability which could be useful for instance in the design of powered shopping carts or active walkers