Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nima Fazeli"'
Publikováno v:
Micromachines, Vol 14, Iss 5, p 916 (2023)
An experiment was performed to calibrate the capability of a tactile sensor, which is based on gallium nitride (GaN) nanopillars, to measure the absolute magnitude and direction of an applied shear force without the need for any post-processing of da
Externí odkaz:
https://doaj.org/article/16d065c0c3314c6a87acd336053c049f
Publikováno v:
IEEE Robotics and Automation Letters. 7:3507-3514
Retrieving an object from cluttered spaces suchas cupboards, refrigerators, or bins requires tracking objects with limited or no visual sensing. In these scenarios, contact feedback is necessary to estimate the pose of the objects, yet the objects ar
Publikováno v:
ICRA
The ability to simulate and predict the outcome of contacts is paramount to the successful execution of many robotic tasks. Simulators are powerful tools for the design of robots and their behaviors, yet the discrepancy between their predictions and
Autor:
Nima Fazeli
Publikováno v:
SSRN Electronic Journal.
Autor:
Nima Fazeli
Publikováno v:
SSRN Electronic Journal.
Autor:
Nima Fazeli
Publikováno v:
SSRN Electronic Journal.
We propose an approach to online model adaptation and control in the challenging case of hybrid and discontinuous dynamics where actions may lead to difficult-to-escape "trap" states, under a given controller. We first learn dynamics for a system wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b263788b6171939fb41afc1d55d4f833
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030286187
ISRR
ISRR
The ability to reason about and predict the outcome of contacts is paramount to the successful execution of many robot tasks. Analytical rigid-body contact models are used extensively in planning and control due to their computational efficiency and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5062d7f80b25ef878c44e5a367d0b14
https://doi.org/10.1007/978-3-030-28619-4_41
https://doi.org/10.1007/978-3-030-28619-4_41
Autor:
Nima Fazeli, Jiajun Wu, Anurag Ajay, Maria Bauza, Alberto Rodriguez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Publikováno v:
ICRA
arXiv
arXiv
Physics engines play an important role in robot planning and control; however, many real-world control problems involve complex contact dynamics that cannot be characterized analytically. Most physics engines therefore employ approximations that lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42e4793dc49b15b6c7fdc876a3dee4b
Autor:
Maria Bauza, Nima Fazeli, Anurag Ajay, Jiajun Wu, Leslie Pack Kaelbling, Alberto Rodriguez, Joshua B. Tenenbaum
Publikováno v:
MIT web domain
IROS
IROS
An efficient, generalizable physical simulator with universal uncertainty estimates has wide applications in robot state estimation, planning, and control. In this paper, we build such a simulator for two scenarios, planar pushing and ball bouncing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b67811b9eb63bfd7c120e411282336d
https://hdl.handle.net/1721.1/137711
https://hdl.handle.net/1721.1/137711