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Daniel Bonilla Licea
Researcher at University of Leeds
Publications - 24
Citations - 135
Daniel Bonilla Licea is an academic researcher from University of Leeds. The author has contributed to research in topics: Computer science & Wireless. The author has an hindex of 5, co-authored 13 publications receiving 62 citations. Previous affiliations of Daniel Bonilla Licea include Czech Technical University in Prague.
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Journal ArticleDOI
Improving Radio Energy Harvesting in Robots Using Mobility Diversity
TL;DR: This paper is the first use of the mobility diversity principle to optimize energy harvesting from an RF signal and demonstrates that mobility, if intelligently controlled, is actually not a foe but is indeed a friend that can provide significant benefits under wireless fading channels.
Journal ArticleDOI
Mobility Diversity-Assisted Wireless Communication for Mobile Robots
TL;DR: The theoretical framework for a generalized version of the mobility diversity with multithreshold algorithm (MDMTA) is established, which allows improved wireless communications in fading channels for mobile robots via intelligent robotic motion with low mechanical energy expenditure.
Proceedings ArticleDOI
MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments
Daniel Hert,Tomas Baca,Pavel Petracek,Vit Kratky,Vojtech Spurny,Matej Petrlik,Matous Vrba,David Zaitlik,Pavel Stoudek,Viktor Walter,Petr Stepan,Jiri Horyna,Vaclav Pritzl,Giuseppe Silano,Daniel Bonilla Licea,Petr Stibinger,Robert Penicka,Tiago Nascimento,Martin Saska +18 more
TL;DR: This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications and presents mechanical designs, electric configurations, and dynamic models of the UAVs, followed by numerous recommendations and technical details required for building such a fully autonomous UAV system for experimental verification of scientific achievements.
Journal ArticleDOI
MORED: A Moroccan Buildings’ Electricity Consumption Dataset
Mohamed Aymane Ahajjam,Daniel Bonilla Licea,Chaimaa Essayeh,Mounir Ghogho,Abdellatif Kobbane +4 more
TL;DR: The Moroccan Buildings' Electricity Consumption Dataset (MORED) as discussed by the authors provides three main data components: whole premises (WP) electricity consumption, individual load (IL) ground-truth consumption, and fully labeled IL signatures, from affluent and disadvantaged neighborhoods.
Journal ArticleDOI
Mobile Robot Path Planners With Memory for Mobility Diversity Algorithms
TL;DR: The results show that MDAs, which adapt the location of those points, can in fact outperform the MDAs that use predetermined locations for those points and allow MRs to mitigate poor wireless channel conditions in an energy-efficient manner.