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103 results on '"Sanz, P.J."'

7. Remote programming of network robots within the UJI industrial robotics telelaboratory: FPGA vision and SNRP network protocol

Author

Marin, R., Leon, G., Wirz, R., Sales, J., Claver, J.M., Sanz, P.J., and Fernandez, J.

Subjects
Machine vision -- Research, Distributed processing (Computers) -- Usage, Ethernet -- Usage, Robots, Industrial -- Research, Online education -- Evaluation, Robotics -- Study and teaching, Distributed processing (Computers), Ethernet, Business, Computers, Electronics, Electronics and electrical industries
Published
2009

11. Multipurpose underwater manipulation for archaeological intervention

Author

Sanz, P.J, Peñalver, A., Sales, J., Fernández, J.J., Pérez, J., Fomas, D., and García, J.C.

Abstract

This paper presents a new research line recently started by our team in the context of semi-autonomous underwater robotic intervention applied to the archaeological domain. This new research line is supported by the Spanish Ministry and represents an extension of previous developed work through different national and international projects. The robotic system under development will assist the archaeologist in the detailed work of monitoring, characterization, study, reconstruction and preservation of archaeological sites, always in accordance with the continuous supervision of the human expert.

Published
2015

16. Fitting primitive shapes in point clouds: a practical approach to improve autonomous underwater grasp specification of unknown objects.

Author

Fornas, D., Sales, J., Peñalver, A., Pérez, J., Fernández, J.J., Marín, R., and Sanz, P.J.

Subjects
REMOTE submersibles, THREE-dimensional imaging, TEXTURE mapping, SIMULATION methods & models, COMPUTER simulation
Abstract

This article presents research on the subject of autonomous underwater robot manipulation. Ongoing research in underwater robotics intends to increase the autonomy of intervention operations that require physical interaction in order to achieve social benefits in fields such as archaeology or biology that cannot afford the expenses of costly underwater operations using remote operated vehicles. Autonomous grasping is still a very challenging skill, especially in underwater environments, with highly unstructured scenarios, limited availability of sensors and adverse conditions that affect the robot perception and control systems. To tackle these issues, we propose the use of vision and segmentation techniques that aim to improve the specification of grasping operations on underwater primitive shaped objects. Several sources of stereo information are used to gather 3D information in order to obtain a model of the object. Using a RANSAC segmentation algorithm, the model parameters are estimated and a set of feasible grasps are computed. This approach is validated in both simulated and real underwater scenarios. [ABSTRACT FROM AUTHOR]

Published
2016
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