@conference {318,
	title = {Experiencias en el dise{\~n}o de robots educacionales submarinos},
	booktitle = {XL Jornadas de Autom{\'a}ticaLibro de actas},
	year = {2019},
	publisher = {Universidade da Coru{\~n}a. Servizo de Publicaci{\'o}ns},
	organization = {Universidade da Coru{\~n}a. Servizo de Publicaci{\'o}ns},
	doi = {10.17979/spudc.978849749716910.17979/spudc.9788497497169.032},
	url = {http://hdl.handle.net/2183/22858http://hdl.handle.net/2183/23658},
	author = {Pe{\~n}alver, Antonio and Mar{\'\i}n, Josep and Ponce, Javier and Mar{\'\i}n, Ra{\'u}l and Mart{\'\i}, Jos{\'e} V. and Casa{\~n}, Gustavo A. and Sanz, Pedro J.}
}
@article {323,
	title = {CompaRob: The Shopping Cart Assistance Robot},
	journal = {International Journal of Distributed Sensor Networks},
	volume = {12},
	year = {2016},
	month = {Nov-02-2016},
	pages = {4781280},
	abstract = {<p>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.</p>
},
	issn = {1550-1477},
	doi = {10.1155/2016/4781280},
	url = {http://downloads.hindawi.com/journals/ijdsn/2016/4781280.pdf},
	author = {Sales, Jorge and Mart{\'\i}, Jos{\'e} V. and Mar{\'\i}n, Ra{\'u}l and Cervera, Enric and Sanz, Pedro J.}
}
@article {292,
	title = {Image compression with region of interest for underwater robotic archaeological applications},
	journal = {XXXVI Jornadas de Autom{\'a}tica. Bilbao, Spain Google Scholar},
	year = {2015},
	author = {Rubino, Eduardo M. and Centelles, Diego and Sales, Jorge and Mart{\'\i}, Jos{\'e} V. and Mar{\'\i}n, Ra{\'u}l and Sanz, Pedro J.}
}
@article {251,
	title = {RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping},
	journal = {Sensors},
	volume = {15},
	year = {2015},
	month = {10/2015},
	chapter = {27322-27340},
	abstract = {<p>Indoor RF-based localization using fingerprint mapping requires an initial training step, which represents a time consuming process. This location methodology needs a database conformed with RSSI (Radio Signal Strength Indicator) measures from the communication transceivers taken at specific locations within the localization area. But, the real world localization environment is dynamic and it is necessary to rebuild the fingerprint database when some environmental changes are made. This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. Also, different distributions of test maps and reference points have been evaluated, showing the validity of this proposal and necessary trade-offs. Results reported show that the same or similar localization accuracy can be achieved even when only 50\% of the initial fingerprint reference points are taken.</p>
},
	issn = {1424-8220},
	doi = {10.3390/s151027322},
	url = {http://www.mdpi.com/1424-8220/15/10/27322},
	author = {Ezpeleta, Santiago and Claver, Jos{\'e} M. and P{\'e}rez-Solano, Juan J. and Mart{\'\i}, Jos{\'e} V.}
}
@article {312,
	title = {Localization of Mobile Sensors and Actuators for Intervention in Low-Visibility Conditions: The ZigBee Fingerprinting Approach},
	journal = {International Journal of Distributed Sensor Networks},
	volume = {8},
	year = {2012},
	month = {01/2012},
	issn = {1550-1477},
	doi = {10.1155/2012/951213},
	url = {http://journals.sagepub.com/doi/full-xml/10.1155/2012/951213},
	author = {Mart{\'\i}, Jos{\'e} V. and Sales, Jorge and Mar{\'\i}n, Ra{\'u}l and Jimenez-Ruiz, Ernesto}
}
