@article {392, title = {CompaRob: The Shopping Cart Assistance Robot}, journal = {International Journal of Distributed Sensor Networks}, volume = {12}, year = {2016}, abstract = {
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.
}, doi = {10.1155/2016/4781280}, url = {http://dsn.sagepub.com/content/12/2/4781280.abstract}, author = {Sales, Jorge and Mart{\'\i}, Jose V. and Marin, Raul and Enric Cervera and Sanz, Pedro J.} } @article {481, title = {The robot programming network}, journal = {Journal of Intelligent \& Robotic Systems}, volume = {81}, year = {2016}, pages = {77{\textendash}95}, author = {Cervera, Enric and Martinet, Philippe and Marin, Raul and Moughlbay, Amine A and del Pobil, Angel P and Alemany, Jaime and Esteller, Roger and Casa{\~n}, Gustavo} } @article {343, title = {The Robot Programming Network}, journal = {Journal of Inteligent and Robotic Sytems}, volume = {81}, year = {2015}, month = {12/2015}, chapter = {77}, abstract = {The Robot Programming Network (RPN) is an initiative for creating a network of robotics education laboratories with remote programming capabilities. It consists of both online open course materials and online servers that are ready to execute and test the programs written by remote students. Online materials include introductory course modules on robot programming, mobile robotics and humanoids, aimed to learn from basic concepts in science, technology, engineering, and mathematics (STEM) to more advanced programming skills. The students have access to the online server hosts, where they submit and run their programming code on the fly. The hosts run a variety of robot simulation environments, and access to real robots can also be granted, upon successful achievement of the course modules. The learning materials provide step-by-step guidance for solving problems with increasing level of difficulty. Skill tests and challenges are given for checking the success, and online competitions are scheduled for additional motivation and fun. Use of standard robotics.
}, keywords = {Online learning, Remote laboratories, robot programming}, issn = {0921-0296}, doi = {DOI 10.1007/s10846-015-0201-7}, author = {Enric Cervera and Philippe Martinet and Marin, Raul and Abou Moughlbay, Amine and Angel P. del Pobil and Jaime Alemany and Esteller-Curto, Roger and Gustavo A. Casa{\~n}} } @conference {228, title = {A test-bed Internet based architecture proposal for benchmarking of visual servoing techniques}, booktitle = {Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on}, year = {2012}, publisher = {IEEE}, organization = {IEEE}, author = {Esteller-Curto, Roger and Angel P. del Pobil and Enric Cervera and Marin, Raul} } @article {242, title = {Multi-Sensor Person Following in Low-Visibility Scenarios}, journal = {Sensors}, volume = {10}, number = {12}, year = {2010}, note = {Times Cited: 3 3}, pages = {10953-10966}, type = {Journal Article}, issn = {1424-8220}, doi = {10.3390/s101210953}, url = {