Francisco Rubio

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Purpose – The purpose of this paper is to solve the path-planning problem of industrial robots in complex environments. Design/methodology/approach – A direct method (in each step, the path is been recorded) is presented in which the search of the path is made in the state space of the robotic system, and it makes use of the information generated about the(More)
PurposeTo compare the quality and efficiency of five methods for solving the path planning problem of industrial robots in complex environments Design/methodology/approachFive methods are presented for solving the path planning problem and certain working parameters have been monitored using each method. These working parameters are the distance travelled(More)
BACKGROUND Eosinophilic oesophagitis (EoE) is characterized by the presence of eosinophils in oesophageal mucosa. Other inflammatory cells, mainly lymphocytes, dendritic cells, and mast cells may also play an important role in this disease. The aim of this study is to compare the inflammatory pattern of the mucosa between EoE and gastro-oesophageal reflux(More)
An efficient algorithm is presented to obtain trajectories for industrial robots working in industrial environments. The procedure starts with the obtaining of an optimal time trajectory neglecting the presence of obstacles. When obstacles are considered, the initial trajectory (obtained by neglecting obstacles) will not be feasible and will have to evolve(More)
Trajectory planning for robots is a very important issue in those industrial activities which have been automated. The introduction of robots into industry seeks to upgrade not only the standards of quality but also productivity as the working time is increased and the useless or wasted time is reduced. Therefore, trajectory planning has an important role(More)
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