COSSMoSS Results
coming soon…
NANOBEAM Results
Publications: [1] “Inelastic Electron Scattering at a Single-Beam Structured Light Wave,” S. Ebel, N. Talebi Communications Physics 6 (2023) 179. https://doi.org/10.1038/s42005-023-01300-2 [2] “Phase-locked photon-electron interaction without a laser,” M. Taleb, M. Hentschel, K. Rossnagel, H. Giessen, N. Talebi Nature Physics 16 (2023) 869-867. https://doi.org/10.1038/s41567-023-01954-3 Highlighted in the News & Views article: C. Kealhofer, “How…
November 2021 – Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms
Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms Javier García Martín, José R. D. Frejo, Ramón A. García, Eduardo F. Camacho Abstract The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple, nonlinear criteria using discrete…
May 2021 – Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network
Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network Javier García Martin, José M. Maestre, and Eduardo F. Camacho. Abstract An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement spots and allocates the RSN…
May 2021 – Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants
Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants Javier Garcia Martin, Ramon A. García, Eduardo F. Camacho Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain Abstract In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is proposed to solve the task allocation problem in a Robotic Sensor…
August 2021 – MPC based on deep learning
Model predictive control based on deep learning for solar parabolic-trough plants Sara Ruiz-Moreno, José Ramón D.Frejo, Eduardo F.Camacho Abstract: In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the output thermal power. However, MPC has the disadvantage of a high computational demand that hinders its application to some processes. This work proposes…
October 2021 – Market-based clustering of MPC
Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields Eva Masero, José M. Maestre, and Eduardo F. Camacho Department of Ingeniería de Sistemas y Automática, Universidad de Sevilla, Seville, Spain Abstract This article focuses on maximizing the thermal energy collected by parabolic-trough solar collector fields to increase the production of the plant. To this end, we propose…
INTEGRABRAIN – RESULTS
Read the article “Rapid prototyping of soft bioelectronic implants for use as neuromuscular interfaces” from the journal “nature biomedical engineering” published in September 2020 here: https://www.nature.com/articles/s41551-020-00615-7 Read the article “Printed elastic membranes for multimodal pacing and recording of human stem-cell-derived cardiomyocytes” from the journal “npj: flexible electronics” published in July 2020 here: https://www.nature.com/articles/s41528-020-0075-z?elqTrackId=a25d5a050e254713978145e7b7683f46 …
December 2020 – A light clustering MPC approach
A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants E. Masero, J. R. D.Frejo, J. M. Maestre, E. F. Camacho Department of Systems and Automation Engineering, University of Seville, Spain Abstract This article shows how coalitional model predictive control (MPC) can be used to maximize thermal power of large-scale…