Zobrazeno 1 - 10
of 162
pro vyhledávání: '"H. Levent Akin"'
Autor:
Aysegul Ucar, Jessy W. Grizzle, Maani Ghaffari, Mattias Wahde, H. Levent Akin, Jacky Baltes, H. Isil Bozma, Jaime Valls Miro
Publikováno v:
IEEE Access, Vol 9, Pp 89694-89698 (2021)
In the last ten years, advances in machine learning methods have brought tremendous developments to the field of robotics. The performance in many robotic applications such as robotics grasping, locomotion, human–robot interaction, perception and c
Externí odkaz:
https://doaj.org/article/9cb20ae9a5d8448ead1816bb3ce79d6f
Publikováno v:
Robotica. 40:3811-3836
In this paper, we propose a set of robust training methods for deep reinforcement learning to transfer learning acquired in one control task to a set of previously unseen control tasks. We improve generalization in commonly used transfer learning ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac3ea347f020920a2d2a576373025130
https://doi.org/10.1017/s0263574722000625
https://doi.org/10.1017/s0263574722000625
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 8, Iss 2, Pp 68-79 (2011)
A robot can perform a given task through a policy that maps its sensed state to appropriate actions. We assume that a hand-coded controller can achieve such a mapping only for the basic cases of the task. Refining the controller becomes harder and ge
Externí odkaz:
https://doaj.org/article/4cfacbf2b82b496598d4d067fcaad0d3
Autor:
Jacky Baltes, H. Levent Akin, Jaime Valls Miro, H. Isil Bozma, Ayşegül Uçar, Mattias Wahde, Jessy W. Grizzle, Maani Ghaffari
Publikováno v:
IEEE Access, Vol 9, Pp 89694-89698 (2021)
In the last ten years, advances in machine learning methods have brought tremendous developments to the field of robotics. The performance in many robotic applications such as robotics grasping, locomotion, human–robot interaction, perception and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ecaebdbcbde1842306cf60b31d8b761
https://hdl.handle.net/10453/154041
https://hdl.handle.net/10453/154041
Autor:
H. Levent Akin, Binnur Görer
Publikováno v:
Human-Computer Interaction. Theory, Methods and Tools ISBN: 9783030784614
HCI (1)
HCI (1)
In this paper, we propose an affective robot learner system with artificial emotions. We define a generic teaching framework which has a planner for the phases of a regular teaching process. A single episode consists of interaction phase, teaching ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1333997270104c35061059f3fee79ce7
https://doi.org/10.1007/978-3-030-78462-1_42
https://doi.org/10.1007/978-3-030-78462-1_42
Autor:
Can Kavaklioglu, H. Levent Akin
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 6 (2009)
Autonomous robots can initiate their mission plans only after gathering sufficient information about the environment. Therefore reliable perception information plays a major role in the overall success of an autonomous robot. The Hidden Markov Model
Externí odkaz:
https://doaj.org/article/3a2e2ef8e03548d6b05fe383c3bd9a67
Autor:
H. Levent Akin, Alp Sardag
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 3, Iss 4 (2008)
A real world environment is often partially observable by the agents either because of noisy sensors or incomplete perception. Moreover, it has continuous state space in nature, and agents must decide on an action for each point in internal continuou
Externí odkaz:
https://doaj.org/article/42427d5bd3734fd2a3b944c450abdad2
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 3 (2006)
In this work, several localization algorithms that are designed and implemented for Cerberus'05 Robot Soccer Team are analyzed and compared. These algorithms are used for global localization of autonomous mobile agents in the robotic soccer domain, t
Externí odkaz:
https://doaj.org/article/a46d66976f784ccd97f53c27ed9112a9
Autor:
Alp Sardag, H. Levent Akin
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 3 (2006)
A real world environment is often partially observable by the agents either because of noisy sensors or incomplete perception. Moreover, it has continuous state space in nature, and agents must decide on an action for each point in internal continuou
Externí odkaz:
https://doaj.org/article/482b3bfd2956461d9de13f73435dda5a
Autor:
Bariş Gökçe, H. Levent Akin
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 16 (2019)
The main challenge of using robots in social environments such as houses is coping with the frequent changes in tasks. Since it is infeasible to come up with an implementation for all possible cases of all tasks, robots should find solutions for new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d577f20cd63c5612b58fb31896153a
https://doaj.org/article/aba6a4f27ae849d28a9178324caa332d
https://doaj.org/article/aba6a4f27ae849d28a9178324caa332d