Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mohamed Oubbati"'
Autor:
Mohamed Oubbati, Günther Palm
Publikováno v:
Neural Computing and Applications. 19:103-114
This paper investigates how dynamics in recurrent neural networks can be used to solve some specific mobile robot problems such as motion control and behavior generation. We have designed an adaptive motion control approach based on a novel recurrent
Publikováno v:
IFAC Proceedings Volumes. 39:61-66
We present a navigation system using the concept of neural fields and apply it to generate a mobile robots behavior over time. Neural fields are biologically inspired, and equivalent to continuous recurrent neural networks. Here, we used them to navi
Publikováno v:
Journal of neural engineering. 11(2)
The new tendency of artificial intelligence suggests that intelligence must be seen as a result of the interaction between brains, bodies and environments. This view implies that designing sophisticated behaviour requires a primary focus on how agent
Publikováno v:
From Animals to Animats 13 ISBN: 9783319088631
SAB
SAB
Goal-driven agents are generally expected to be capable of pursuing simultaneously a variety of goals. As these goals may compete in certain circumstances, the agent must be able to constantly trade them off and shift their priorities in a rational w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::305d06bd960feacb94d619c50f095650
https://doi.org/10.1007/978-3-319-08864-8_16
https://doi.org/10.1007/978-3-319-08864-8_16
Publikováno v:
From Animals to Animats 12 ISBN: 9783642330926
SAB
SAB
Approximating adaptive dynamic programming has been studied extensively in recent years for its potential scalability to solve problems involving continuous state and action spaces. The framework of adaptive critic design (ACD) addresses this issue a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d981d7356fa2dc378fcab63b13979a2d
https://doi.org/10.1007/978-3-642-33093-3_32
https://doi.org/10.1007/978-3-642-33093-3_32
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642217371
ICANN (2)
ICANN (2)
We investigate the use of neural fields for building a distributed behavioral model enabling several agents to move in a flock. No leader is required, and each agent is implemented as an independent element that follows its own behavioral model which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6597525ee69ed0ddbfa5a3148d2f4a36
https://doi.org/10.1007/978-3-642-21738-8_5
https://doi.org/10.1007/978-3-642-21738-8_5
Publikováno v:
SMC
In the present paper an application of a novel neural network architecture called Echo State Network (ESN) within the frame of a reinforcement learning scheme named Adaptive Critic Design (ACD) is proposed. Our aim is to investigate the possibility f
Publikováno v:
From Animals to Animats 11 ISBN: 9783642151927
SAB
SAB
Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot's control policy from human teacher's demonstrations on the robot learner, and to generalize beyond the demonstrati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc87e6f5af035fff0603ac43288a8149
https://doi.org/10.1007/978-3-642-15193-4_47
https://doi.org/10.1007/978-3-642-15193-4_47
Publikováno v:
IJCNN
In this paper we investigate how neural fields can generate complex behavior in mobile robot navigation. A case study is presented in which a mobile robot endowed with sonars and a laserscanner performs the behaviors target-acquisition, obstacle-avoi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540693680
PIT
PIT
The goal of this work is the exploration of real-time emotion recognition from speech. In this approach a novel type of recurrent neural networks called echo state networks (ESN) are utilized. Biologically motivated features representing modulations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cabe215b8d12665c2c4168968432116
https://doi.org/10.1007/978-3-540-69369-7_22
https://doi.org/10.1007/978-3-540-69369-7_22