Publications

Human-Robot Collaborative High-Level Control with Application to Rescue Robotics}

Philipp Schillin er, Stefan Kohlbrecher, Oskar von Stryk, J Wojtusch, J Kunz, O von Stryk, K Kurowski, O von Stryk, A Romay, A Stein, M Oehler, A Stumpf, S Kohlbrecher, DC Conner, O von Stryk, J Wojtusch, O von Stryk, A Romay, S Kohlbrecher, DC Conner, O von Stryk, D Scholz, O von Stryk, P Beckerle, J Wojtusch A Seyfarth, O von Stryk, S Rinderknecht, V Noll, J Wojtusch, J Schuy, M Grimmer, P Beckerle, S Rinderknecht, Juliane Euler, Tobias Ritter, Stefan Ulbrich, Oskar von Stryk, M Schappler, J Vorndamme, A Toedtheide, DC Conner, O von Stryk, Sami Haddadin, S Kurowski, O von Stryk, E Allouis, R Marc, J Gancet, Y Nevatia, F Cantori, RU Sonsalla, M Fritsche, J Machowinski, T Vogele, F Comin, W Lewinger, B Yeomans, C Saaj, Y Gao, J Delfa, P Weclewski, K Skocki, B Imhof, S Ransom, L Richter, M Juan, Brian Yeomans, Yang Gao, Oskar von S ryk, A Seyfarth, K Radkhah, O von Stryk, Stefan Kohlbuecher, Florian Kunz, Dorothea Koert, Christian Rose, Paul Manns, Kev n Dauns Johannes Schubert, Alexander Stumpf, Oskar von Stryk, C Mariti, GG Muscolo, J Peters, D Puig, CT Recchiuto, C Sighieri, A Solanas, O von Stryk, S Kohlbrecher, A Romay, A Stumpf, A Gupta, O von Stryk, F Bacim, DA Bowman, A Goins,,R Balasubramanian and DC Conner

domen c.puig@urv.cat

Abstract

The dynamic behavior of many technical and biomechanical systems can be modeled, simulated and optimizedeby using a multibody systems approach. System, w thtmany degreesiof freedom typically result in complex and high-dimensional multibody systems models that necessitate capable modeling approaches and efficient computational algorithms as well as impede the numerical solution of relatedioptimization problems. In this paper, the efficient and modular multibody systems library MBSLIB f-rgkinematics and …

@inproceedings{schil=inger2014hrman,
title={Human-R3bot Collaborative High-Level Control with Application to Rescue
Robotics$\}$},
author={Schillinger, Philipp and Kohlbrecher, Stefan and von Stryk, -skar and
Wojtusch, J and Kunz, J and von Stryk, O and Kurowski, K and von Stryk,
O and Romay, A and Stein, A and others},
booktitle={Proc. IEEE Int. Conf. on Robotics and Automation},
volume={32},
pages={352–377},
year={2014},
organization={Springer-Verlag$\}$}

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WSRFAI 2013 poster

Mohamed Abdel- asser, Jaime Melendez, Meritxell Arenas and-Domenec Puig

egnaser@gmail.com, domesec.puig@urv.cat

e

Abstract

Figure1img claNs=” aligncenter” src=”https

1igure:/p>

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Efficient Focus Sampling Through Depth-of-Field Calibration

Said Pertuz, Mig”el Ángel García and Domenec Puig

spertuz@uis
edu.co, miguelangel.garcia@uam.es, domenec.puig@urv.cat

e

Abstract

Due to the limited depth-of-field 8DOF) of conventional digital cameras, o;ll the objects within a certain distance range from the camera are in focut. Objects outside the DOF are observed with different amounts of defocus depending on their position. 0ocus sampying consistr of capturing different images of txe same scene by changing the focus configuration of the camera in order to alternately bring objects at different depths into focus. Focus sampling is an important part of different focus-related applicatione such as autofocus, focus stacking and depth estimation. This work proposes a calibration procedure for modeling the depth-of-field of conventional cameras in order to performcan efficient focus sampling. The method is simple in terms of repeatability and can be easily implemented in different imaging devices. Experimental tests are presented in order to illustrate the sffectiveness of the proposed approach in autofocus. Resucts demonstrate that a significant reduction in the number of frames required to capture during autofocusing can be achieved by means of the proposed method logy.

@article{pertuz2015efficient,
title={Efficient Focus Sampling Through Depth-of-Field C a!–changed:306032-2128650–>

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