Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sarah Osentoski"'
Autor:
Sachin Chitta, Andrew G. Barto, Scott Niekum, Sarah Osentoski, Bhaskara Marthi, George Konidaris
Publikováno v:
The International Journal of Robotics Research. 34:131-157
Robots exhibit flexible behavior largely in proportion to their degree of knowledge about the world. Such knowledge is often meticulously hand-coded for a narrow class of tasks, limiting the scope of possible robot competencies. Thus, the primary lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4248de08b32c8eb2e69b70a48d8306b
https://doi.org/10.1177/0278364914554471
https://doi.org/10.1177/0278364914554471
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783319293622
ISRR
ISRR
We present rosbridge, a middleware abstraction layer which provides robotics technology with a standard, minimalist applications development framework accessible to applications programmers who are not themselves roboticists. Rosbridge provides a sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc0a760695a7c9bdb983c5795f767cf
https://doi.org/10.1007/978-3-319-29363-9_28
https://doi.org/10.1007/978-3-319-29363-9_28
Autor:
Daniel H. Grollman, Shuonan Dong, Halit Bener Suay, Christopher Crick, Odest Chadwicke Jenkins, Sarah Osentoski, Graylin Jay, Benjamin Pitzer
Publikováno v:
International Journal of Social Robotics. 4:449-461
This paper documents the technology developed during the creation of the PR2 Remote Lab and the process of using it for shared development for Learning from Demonstration. Remote labs enable a larger and more diverse group of researchers to participa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a604724829e175092f234f0e3ae0ff8f
https://doi.org/10.1007/s12369-012-0157-8
https://doi.org/10.1007/s12369-012-0157-8
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 25:380-385
We describe the Fourier basis, a linear value function approximation scheme based on the Fourier series. We empirically demonstrate that it performs well compared to radial basis functions and the polynomial basis, the two most popular fixed bases fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09cbd19153fa29feda7c229a7dceedc2
https://doi.org/10.1609/aaai.v25i1.7903
https://doi.org/10.1609/aaai.v25i1.7903
Autor:
Sarah Osentoski, Mitchell Wills, Jihoon Lee, Russell Toris, Sonia Chernova, Odest Chadwicke Jenkins, Julius Kammerl, David V. Lu
Publikováno v:
IROS
Since its official introduction in 2012, the Robot Web Tools project has grown tremendously as an open-source community, enabling new levels of interoperability and portability across heterogeneous robot systems, devices, and front-end user interface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bed46cece9f847417da030506f86e6a0
https://doi.org/10.1109/iros.2015.7354021
https://doi.org/10.1109/iros.2015.7354021
Publikováno v:
ICRA
We introduce a particle filter-based approach to representing and actively reducing uncertainty over articulated motion models. The presented method provides a probabilistic model that integrates visual observations with feedback from manipulation ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23b0eba4bb8ccbe98cf8111135b74ed9
https://doi.org/10.1109/icra.2015.7139655
https://doi.org/10.1109/icra.2015.7139655
Publikováno v:
ICRA
We introduce CHAMP, an algorithm for online Bayesian changepoint detection in settings where it is difficult or undesirable to integrate over the parameters of candidate models. CHAMP is used in combination with several articulation models to detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ddade08d91593dedeb11def4d8a2072
https://doi.org/10.1109/icra.2015.7139383
https://doi.org/10.1109/icra.2015.7139383
We introduce CHAMP, an algorithm for online Bayesian changepoint detection in settings where it is di cult or undesirable to integrate over the parameters of candidate models. Rather than requiring integration of the parameters of candidate models as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2067598bf54a9b06f6570d497c1f89c4
https://doi.org/10.21236/ada605983
https://doi.org/10.21236/ada605983
Autor:
Thomas Witzig, J. Marius Zollner, Rainer Jakel, Sarah Osentoski, Dejan Pangercic, Rüdiger Dillmann
Publikováno v:
IROS
This paper describes a collaborative human-robot system that provides context information to enable more effective robotic manipulation. We take advantage of the semantic knowledge of a human co-worker who provides additional context information and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc34446e02af0b413d3929304164f5a
https://doi.org/10.1109/iros.2013.6697180
https://doi.org/10.1109/iros.2013.6697180
Publikováno v:
Robotics: Science and Systems
Much recent work in robot learning from demonstration has focused on automatically segmenting continuous task demonstrations into simpler, reusable primitives. However, strong assumptions are often made about how these primitives can be sequenced, li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19d37e3e86ae6afb16a0be704aaf7662
https://doi.org/10.15607/rss.2013.ix.048
https://doi.org/10.15607/rss.2013.ix.048