Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Bouri Mohamed"'
Autor:
Prete, Andrea Dal, Orhan, Zeynep Özge, Bolotnikova, Anastasia, Gandolla, Marta, Ijspeert, Auke, Bouri, Mohamed
Accurate detection of locomotion transitions, such as walk to sit, walk to stair ascent, and descent, is crucial to effectively control robotic assistive devices, such as lower-limb exoskeletons, as each locomotion mode requires specific assistance.
Externí odkaz:
http://arxiv.org/abs/2411.12573
Guidewire segmentation during endovascular interventions holds the potential to significantly enhance procedural accuracy, improving visualization and providing critical feedback that can support both physicians and robotic systems in navigating comp
Externí odkaz:
http://arxiv.org/abs/2410.07460
Autor:
Caroline Ribeiro De Souza, Runfeng Miao, Júlia Ávila De Oliveira, Andrea Cristina De Lima-Pardini, Débora Fragoso De Campos, Carla Silva-Batista, Luis Teixeira, Solaiman Shokur, Bouri Mohamed, Daniel Boari Coelho
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/0b9e2d70d7dd4df79dda08b3de95541f
Publikováno v:
E3S Web of Conferences, Vol 353, p 03003 (2022)
This paper presents a comparative study between feedforward control (FF) and iterative learning control (ILC) with application to a parallel Delta robot performing repetitive trajectory. In order to improve the tracking trajectory of the Delta robot,
Externí odkaz:
https://doaj.org/article/f109aca4cde14cba9c912142d0acf020
Autor:
Orhan, Zeynep Özge, Shafiee, Milad, Juillard, Vincent, Oliveira, Joel Coelho, Ijspeert, Auke, Bouri, Mohamed
Balance loss is a significant challenge in lower-limb exoskeleton applications, as it can lead to potential falls, thereby impacting user safety and confidence. We introduce a control framework for omnidirectional recovery step planning by online opt
Externí odkaz:
http://arxiv.org/abs/2310.20339
Autor:
Orhan, Zeynep Ozge, Prete, Andrea Dal, Bolotnikova, Anastasia, Gandolla, Marta, Ijspeert, Auke, Bouri, Mohamed
Assistive devices, such as exoskeletons and prostheses, have revolutionized the field of rehabilitation and mobility assistance. Efficiently detecting transitions between different activities, such as walking, stair ascending and descending, and sitt
Externí odkaz:
http://arxiv.org/abs/2310.04117
Learning from demonstrations (LfD) enables humans to easily teach collaborative robots (cobots) new motions that can be generalized to new task configurations without retraining. However, state-of-the-art LfD methods require manually tuning intrinsic
Externí odkaz:
http://arxiv.org/abs/2209.06940
Autor:
Schlegel, David J., Kollmeier, Juna A., Aldering, Greg, Bailey, Stephen, Baltay, Charles, Bebek, Christopher, BenZvi, Segev, Besuner, Robert, Blanc, Guillermo, Bolton, Adam S., Bonaca, Ana, Bouri, Mohamed, Brooks, David, Buckley-Geer, Elizabeth, Cai, Zheng, Crane, Jeffrey, Demina, Regina, DeRose, Joseph, Dey, Arjun, Doel, Peter, Fan, Xiaohui, Ferraro, Simone, Finkbeiner, Douglas, Font-Ribera, Andreu, Gontcho, Satya Gontcho A, Green, Daniel, Gutierrez, Gaston, Guy, Julien, Heetderks, Henry, Huterer, Dragan, Infante, Leopoldo, Jelinsky, Patrick, Karagiannis, Dionysios, Kent, Stephen M., Kim, Alex G., Kneib, Jean-Paul, Kremin, Anthony, Kronig, Luzius, Konidaris, Nick, Lahav, Ofer, Lampton, Michael L., Landriau, Martin, Lang, Dustin, Leauthaud, Alexie, Levi, Michael E., Liguori, Michele, Linder, Eric V., Magneville, Christophe, Martini, Paul, Mateo, Mario, McDonald, Patrick, Miller, Christopher J., Moustakas, John, Myers, Adam D., Mulchaey, John, Newman, Jeffrey A., Nugent, Peter E., Padmanabhan, Nikhil, Palanque-Delabrouille, Nathalie, Piro, Antonella Palmese Anthony L., Poppett, Claire, Prochaska, Jason X., Pullen, Anthony R., Rabinowitz, David, Raichoor, Anand, Ramirez, Solange, Rix, Hans-Walter, Ross, Ashley J., Samushia, Lado, Schaan, Emmanuel, Schubnell, Michael, Seljak, Uros, Seo, Hee-Jong, Shectman, Stephen A., Schlafly, Edward F., Silber, Joseph, Simon, Joshua D., Slepian, Zachary, Slosar, Anže, Soares-Santos, Marcelle, Tarlé, Greg, Thompson, Ian, Valluri, Monica, Wechsler, Risa H., White, Martin, Wilson, Michael J., Yèche, Christophe, Zaritsky, Dennis, Zhou, Rongpu
In this white paper, we present the MegaMapper concept. The MegaMapper is a proposed ground-based experiment to measure Inflation parameters and Dark Energy from galaxy redshifts at $2
Externí odkaz:
http://arxiv.org/abs/2209.04322
Autor:
Silber, Joseph Harry, Fagrelius, Parker, Fanning, Kevin, Schubnell, Michael, Aguilar, Jessica Nicole, Ahlen, Steven, Ameel, Jon, Ballester, Otger, Baltay, Charles, Bebek, Chris, Beard, Dominic Benton, Besuner, Robert, Cardiel-Sas, Laia, Casas, Ricard, Castander, Francisco Javier, Claybaugh, Todd, Dobson, Carl, Duan, Yutong, Dunlop, Patrick, Edelstein, Jerry, Emmet, William T., Elliott, Ann, Evatt, Matthew, Gershkovich, Irena, Guy, Julien, Harris, Stu, Heetderks, Henry, Heetderks, Ian, Honscheid, Klaus, Illa, Jose Maria, Jelinsky, Patrick, Jelinsky, Sharon R., Jimenez, Jorge, Karcher, Armin, Kent, Stephen, Kirkby, David, Kneib, Jean-Paul, Lambert, Andrew, Lampton, Mike, Leitner, Daniela, Levi, Michael, McCauley, Jeremy, Meisner, Aaron, Miller, Timothy N., Miquel, Ramon, Mundet, Juliá, Poppett, Claire, Rabinowitz, David, Reil, Kevin, Roman, David, Schlegel, David, Serrano, Santiago, Van Shourt, William, Sprayberry, David, Tarlé, Gregory, Tie, Suk Sien, Weaverdyck, Curtis, Zhang, Kai, Azzaro, Marco, Bailey, Stephen, Becerril, Santiago, Blackwell, Tami, Bouri, Mohamed, Brooks, David, Buckley-Geer, Elizabeth, Castro, Jose Peñate, Derwent, Mark, Dey, Arjun, Dhungana, Govinda, Doel, Peter, Eisenstein, Daniel J., Fahim, Nasib, Garcia-Bellido, Juan, Gaztañaga, Enrique, Gontcho, Satya Gontcho A, Gutierrez, Gaston, Hörler, Philipp, Kehoe, Robert, Kisner, Theodore, Kremin, Anthony, Kronig, Luzius, Landriau, Martin, Guillou, Laurent Le, Martini, Paul, Moustakas, John, Palanque-Delabrouille, Nathalie, Peng, Xiyan, Percival, Will, Prada, Francisco, Prieto, Carlos Allende, de Rivera, Guillermo Gonzalez, Sanchez, Eusebio, Sanchez, Justo, Sharples, Ray, Soares-Santos, Marcelle, Schlafly, Edward, Weaver, Benjamin Alan, Zhou, Zhimin, Zhu, Yaling, Zou, Hu
A system of 5,020 robotic fiber positioners was installed in 2019 on the Mayall Telescope, at Kitt Peak National Observatory. The robots automatically re-target their optical fibers every 10 - 20 minutes, each to a precision of several microns, with
Externí odkaz:
http://arxiv.org/abs/2205.09014
Autor:
Los Angeles, Emanuele, de Oliveira, Claudia Eunice Neves, Cupertino, Layla, Shokur, Solaiman, Bouri, Mohamed, Coelho, Daniel Boari
Publikováno v:
In Human Movement Science August 2024 96