المؤلفون: Cao, Chao, Zhang, Ji, Travers, Matt, Choset, Howie

المصدر: 2020 IEEE International Conference on Robotics and Automation (ICRA) Robotics and Automation (ICRA), 2020 IEEE International Conference on. :3206-3212 May, 2020

Relation: 2020 IEEE International Conference on Robotics and Automation (ICRA)

المؤلفون: Whitman, Julian, Zevallos, Nico, Travers, Matt, Choset, Howie

المصدر: 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) Safety, Security, and Rescue Robotics (SSRR), 2018 IEEE International Symposium on. :1-6 Aug, 2018

Relation: 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

المؤلفون: Travers, Matt, Ansari, Alex, Choset, Howie

المصدر: 2016 IEEE 55th Conference on Decision and Control (CDC) Decision and Control (CDC), 2016 IEEE 55th Conference on. :5152-5157 Dec, 2016

Relation: 2016 IEEE 55th Conference on Decision and Control (CDC)

المؤلفون: Ponte, Hugo, Travers, Matt, Choset, Howie

المصدر: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on. :2482-2487 Sep, 2014

Relation: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)

المؤلفون: Kennedy, David N, Abraham, Sanu A, Bates, Julianna F, Crowley, Albert, Ghosh, Satrajit, Gillespie, Tom, Goncalves, Mathias, Grethe, Jeffrey S, Halchenko, Yaroslav O, Hanke, Michael, Haselgrove, Christian, Hodge, Steven M, Jarecka, Dorota, Kaczmarzyk, Jakub, Keator, David B, Meyer, Kyle, Martone, Maryann E, Padhy, Smruti, Poline, Jean-Baptiste, Preuss, Nina, Sincomb, Troy, Travers, Matt

مصطلحات موضوعية: Neurosciences, Substance Misuse, Clinical Research, reproducibility, neuroimaging, data model, publication, re-executability, Cognitive Sciences

الوصف: There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication. The information supporting such re-executability can enable the detailed examination of how an initial finding generalizes across changes in the processing approach, and sampled population, in a controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation is a recently funded initiative that seeks to facilitate the "last mile" implementations of core re-executability tools in order to reduce the accessibility barrier and increase adoption of standards and best practices at the neuroimaging research laboratory level. In this report, we summarize the overall approach and tools we have developed in this domain.

URL الوصول: https://escholarship.org/uc/item/82j6845c

المؤلفون: Ponte, Hugo, Queenan, Max, Gong, Chaohui, Mertz, Chirstoph, Travers, Matt, Enner, Florian, Hebert, Martial, Choset, Howie

المصدر: 2014 IEEE International Conference on Robotics and Automation (ICRA) Robotics and Automation (ICRA), 2014 IEEE International Conference on. :2779-2784 May, 2014

Relation: 2014 IEEE International Conference on Robotics and Automation (ICRA)

المؤلفون: Aguilar, Jeffrey, Zhang, Tingnan, Qian, Feifei, Kingsbury, Mark, McInroe, Benjamin, Mazouchova, Nicole, Li, Chen, Maladen, Ryan, Gong, Chaohui, Travers, Matt, Hatton, Ross L., Choset, Howie, Umbanhowar, Paul B., Goldman, Daniel I.

مصطلحات موضوعية: Computer Science - Robotics, Condensed Matter - Soft Condensed Matter, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Physics - Biological Physics

الوصف: In this review we argue for the creation of a physics of moving systems -- a locomotion "robophysics" -- which we define as the pursuit of the discovery of principles of self generated motion. Robophysics can provide an important intellectual complement to the discipline of robotics, largely the domain of researchers from engineering and computer science. The essential idea is that we must complement study of complex robots in complex situations with systematic study of simplified robophysical devices in controlled laboratory settings and simplified theoretical models. We must thus use the methods of physics to examine successful and failed locomotion in simplified (abstracted) devices using parameter space exploration, systematic control, and techniques from dynamical systems. Using examples from our and other's research, we will discuss how such robophysical studies have begun to aid engineers in the creation of devices that begin to achieve life-like locomotor abilities on and within complex environments, have inspired interesting physics questions in low dimensional dynamical systems, geometric mechanics and soft matter physics, and have been useful to develop models for biological locomotion in complex terrain. The rapidly decreasing cost of constructing sophisticated robot models with easy access to significant computational power bodes well for scientists and engineers to engage in a discipline which can readily integrate experiment, theory and computation.
Comment: 61 pages, 18 figures, IOPScience journal: Reports on Progress in Physics

URL الوصول: http://arxiv.org/abs/1602.04712

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