Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Halit Bener Suay"'
Autor:
Sonia Chernova, Nicholas Alunni, Daniel M. Lofaro, Dmitry Berenson, Robert W. Lindeman, Calder Phillips-Grafflin, Jim Mainprice, Halit Bener Suay, Paul Y. Oh
Publikováno v:
Journal of Intelligent & Robotic Systems. 82:341-361
In this paper, we present our system design, operational procedure, testing process, field results, and lessons learned for the valve-turning task of the DARPA Robotics Challenge (DRC). We present a software framework for cooperative traded control t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39db1bd866ba3c038bdaec1d03f11ac6
https://doi.org/10.1007/s10846-015-0256-5
https://doi.org/10.1007/s10846-015-0256-5
Publikováno v:
International Journal of Social Robotics. 4:319-330
Research on robot Learning from Demonstration has seen significant growth in recent years, but the field has had only limited evaluation of existing algorithms with respect to algorithm usability by naive users. In this article we present findings fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceccb86c982c5e6e429633aedaeef89c
https://doi.org/10.1007/s12369-012-0158-7
https://doi.org/10.1007/s12369-012-0158-7
Publikováno v:
Journal of Asian Architecture and Building Engineering. 8:407-414
Decentralized resource management is a promising field as it has the ability to lessen impact on Earth′s climate change, assist with renewable technology development, increase equity in the distribution and consumption of resources, decrease vulner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2484c9618852919881e6c1c5e245dbb
https://doi.org/10.3130/jaabe.8.407
https://doi.org/10.3130/jaabe.8.407
Autor:
Emrah Akin Sisbot, Halit Bener Suay
Publikováno v:
ICRA
We present a novel approach for generating candidate handover positions for human receivers. The object handover problem involves several variables and is under-constrained. The sheer number of possibilities makes it nontrivial to find a good object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eaa04db5abeffcd9f9ad4b298ca9e14
https://doi.org/10.1109/icra.2015.7139724
https://doi.org/10.1109/icra.2015.7139724
Autor:
Paul Y. Oh, Nicholas Alunni, Calder Phillips-Grafflin, Robert W. Lindeman, Halit Bener Suay, Daniel M. Lofaro, Sonia Chernova, Dmitry Berenson, Jim Mainprice
Publikováno v:
ICRA
Supervision and teleoperation of high degree-offreedom robots is a complex task due to environmental constraints such as obstacles and limited communication, as well as task specific requirements such as using more than one endeffector at the same ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6998a54cb61fbc9f4f83dc8c80bad249
https://doi.org/10.1109/icra.2014.6907141
https://doi.org/10.1109/icra.2014.6907141
Autor:
Sonia Chernova, Robert W. Lindeman, Calder Phillips-Grafflin, Halit Bener Suay, Daniel M. Lofaro, Paul Y. Oh, Jim Mainprice, Dmitry Berenson, Nicholas Alunni
Publikováno v:
IROS
In this paper, we report lessons learned through the design of a framework for teleoperating a humanoid robot to perform a manipulation task. We present a software framework for cooperative traded control that enables a team of operators to control a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28831d5e01c605d7864aa4001b830f2a
Publikováno v:
HRI
Research on robot learning from demonstration has seen significant growth in recent years, but existing evaluations have focused exclusively on algorithmic performance and not on usability factors, especially with respect to naive users. Here we pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426bb1d1b9b4f8bdac7616ea3eee81de
https://doi.org/10.1145/2157689.2157784
https://doi.org/10.1145/2157689.2157784
Autor:
Sonia Chernova, Halit Bener Suay
Publikováno v:
HRI
Many different robot learning from demonstration methods have been applied and tested in various environments recently. Representation of learned plans, tasks and policies often depends on the technique due to method-specific parameters. An agent tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29240fb0a6a56d7c8ab5da88684fc73f
https://doi.org/10.1145/2157689.2157777
https://doi.org/10.1145/2157689.2157777
Autor:
Halit Bener Suay, Sonia Chernova
Publikováno v:
SMC
Robot learning from demonstration focuses on algorithms that enable a robot to learn a policy from demonstrations performed by a teacher, typically a human expert. This paper presents an experimental evaluation of two learning from demonstration algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d570500ad7809785b5fc6765bc09484
https://doi.org/10.1109/icsmc.2011.6084052
https://doi.org/10.1109/icsmc.2011.6084052
Autor:
Sonia Chernova, Halit Bener Suay
Publikováno v:
RO-MAN
The Interactive Reinforcement Learning algorithm enables a human user to train a robot by providing rewards in response to past actions and anticipatory guidance to guide the selection of future actions. Past work with software agents has shown that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea7a18c533bfeca138922652a0fdf1c8
https://doi.org/10.1109/roman.2011.6005223
https://doi.org/10.1109/roman.2011.6005223