Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ferdian Adi Pratama"'
Publikováno v:
RO-MAN
We present a robot cognitive framework based on (a) a memory-like architecture; and (b) the notion of “context”. We posit that relying solely on machine learning techniques may not be the right approach for a long-term, continuous knowledge acqui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::713b5843e5f32564c7817f58e90a6f64
http://hdl.handle.net/10119/14233
http://hdl.handle.net/10119/14233
Long-term knowledge acquisition using contextual information in a memory-inspired robot architecture
In this paper, we present a novel cognitive framework allowing a robot to form memories of relevant traits of its perceptions and to recall them when necessary. The framework is based on two main principles: on the one hand, we propose an architectur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff3d31e4ed9967475609ffcc2ff36458
http://hdl.handle.net/11567/849950
http://hdl.handle.net/11567/849950
Publikováno v:
ICDL-EPIROB
In this paper, we present a conceptual design for a context-influenced Long-Term Memory architecture. The notion of context is used as a means to organize the information flow between the Working Memory and Long-Term Memory components. In particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::466d4290e7aa69a9691b50aab53011e8
http://hdl.handle.net/10119/12358
http://hdl.handle.net/10119/12358
Publikováno v:
RO-MAN
This paper presents a 3D online path planning algorithm for Unmanned Aerial Vehicles (UAVs) equipped with limited range sensors and computational resources in unknown cluttered environments. Even though quadrotor UAVs are considered to be a promising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2280c04d6a2e0d474a968f27622c0981
http://hdl.handle.net/10119/11615
http://hdl.handle.net/10119/11615
Adaptive Point-Based Value Iteration for Continuous States POMDP in Goal-Directed Imitation Learning
Publikováno v:
2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). :249-254
In motion planning and robot navigation, continuous domain would be the natural way of representation of state space. However, discretization is needed in order to deal with continuous state space. Results precision depends on the discretization, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab563e2ab58dd31fe6d10c7bba3d68d
http://hdl.handle.net/10119/11412
http://hdl.handle.net/10119/11412
Publikováno v:
URAI
Uncertainty is one of the most difficult factors to handle when we wish to develop an algorithm for robot motion planning in real circumstances. This paper presents a solution for a robot to deal with “lack of observation” in the scope of object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38f9f846fedeb3b527d326a8ef190adc
https://doi.org/10.1109/urai.2014.7057524
https://doi.org/10.1109/urai.2014.7057524
Publikováno v:
2013 IEEE International Conference on Mechatronics and Automation.
This paper presents a 3D flocking algorithm for a team of unmanned aerial vehicles (UAVs), where each member is equipped with limited range sensors and computational resources. A minimal leader-follower communication scheme is proposed for maneuverin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc279d77e8964aece5d85741789d01e
https://doi.org/10.1109/icma.2013.6618142
https://doi.org/10.1109/icma.2013.6618142