Search results for "bots"
showing 10 items of 122 documents
Aproximation of continuous media models for granular systems using cellular automata
2004
In this paper a new cellular automata model suitable for granular systems simulation is presented. The proposed model is shown to be equivalent to a particularization of the well known BCRE model of granular systems and a correspondence between the parameters of the presented model and the BCRE model is also set, allowing to fit these parameters for a given system. The model has the advantage over other cellular automata models of being more realistic in the behavior of the surface of heaps and slopes. The dynamics of the CA is analyzed in order to confirm that it also has one of the most important features of these systems, 1/f noise.
Robots intelligents outdoor : nouvelles perspectives autour de l’empowerment du consommateur
2019
Thème du congrès : « Le marketing digital »; National audience
The Law of Service Robots
2014
Il settore della robotica attiene alla progettazione e costruzione di un complesso variegato ed eterogeneo di macchine, quali robot, soldati e chirurghi, sistemi automatizzati di trasporto aereo, terrestre e marittimo, applicazioni industriali nell’ambito manifatturiero o nella agricoltura, robotica di servizio e altro ancora. Si tratta di un settore per eccellenza interdisciplinare la varietà di ambiti e applicazioni del quale fa sì che si discuta ancora sulla definizione di robot e su alcune sue proprietà: l’autonomia, l’adattatività o i gradi di interattività. Su queste basi, il problema, attualmente, non è tanto quello di determinare se e in che modo i robot ”agiscano”; la questione ver…
Selective Actuation and Tomographic Imaging of Swarming Magnetite Nanoparticles
2021
International audience; Micro- and nanomotors have seen substantial progress in recent years for biomedical applications. However, three grand challenges remain: (i) high velocities to overcome the blood flow, (ii) spatially selective control to enable complex navigation, and (iii) integration of a medical, tomographic real-time imaging method to acquire feedback information. Here, we report the combination of active magnetic matter and a medical imaging technique, namely magnetic particle imaging (MPI), which addresses these needs. We synthesize ∼200 nm magnetic nanoparticles and observe a macroscopic, collective effect in a homogeneous magnetic field with a rotating field vector. The nano…
Robots socials. Un punt de trobada entre ciència i ficció
2014
Els robots industrials i els androides de la ciència-ficció, tan diferents fins ara, comencen a confluir gràcies al ràpid desenvolupament de la robòtica social. Atesa la creixent necessitat de mà d’obra en el sector assistencial i de serveis, s’estan dissenyant robots que puguin interaccionar amb les persones, ja sigui atenent a discapacitats i gent gran, fent de recepcionistes o dependents en centres comercials, i àdhuc actuant de mestres de reforç o mainaderes. En aquest context, proliferen les iniciatives per facilitar la inspiració mútua entre tecnociència i humanitats. Qüestions ètiques com la influència de les mainaderes robòtiques sobre el psiquisme infantil, abans tractades en obres…
Social robots: A meeting point between science and fiction
2015
Texts in the journal are –unless otherwise indicated– published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
PROLISEAN: A New Security Protocol for Programmable Matter
2021
The vision for programmable matter is to create a material that can be reprogrammed to have different shapes and to change its physical properties on demand. They are autonomous systems composed of a huge number of independent connected elements called particles. The connections to one another form the overall shape of the system. These particles are capable of interacting with each other and take decisions based on their environment. Beyond sensing, processing, and communication capabilities, programmable matter includes actuation and motion capabilities. It could be deployed in different domains and will constitute an intelligent component of the IoT. A lot of applications can derive fro…
A Cognitive Robotics Implementation of Global Workspace Theory for Episodic Memory Interaction with Consciousness
2023
Abstract—Artificial general intelligence revived in recent years after people achieved significant advances in machine learning and deep learning. This leads to the thinking of how real intelligence could be created. Consciousness theories believe that general intelligence is essentially conscious, yet no universal definition is agreed upon. In this work, Global Workspace Theory is implemented and integrated with crucial cognitive components. With the focus on episodic memory and inspiration from the nature of episodic memory in psychology and neuroscience, the episodic memory component is implemented within the Global Workspace framework. In our experiment, the robotic agent operates in a …
Application of EαNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition
2006
Speech recognition has become common in many application domains. Incorporating acoustic-phonetic knowledge into Automatic Speech Recognition (ASR) systems design has been proven a viable approach to rise ASR accuracy. Manner of articulation attributes such as vowel, stop, fricative, approximant, nasal, and silence are examples of such knowledge. Neural networks have already been used successfully as detectors for manner of articulation attributes starting from representations of speech signal frames. In this paper, a set of six detectors for the above mentioned attributes is designed based on the E-αNet model of neural networks. This model was chosen for its capability to learn hidden acti…
Towards Partners Profiling in Human Robot Interaction Contexts
2012
Individuality is one of the most important qualities of humans. Social robots should be able to model the individuality of the human partners and to modify their behaviours accordingly.This paper proposes a profiling system for social robots to be able to learn the individuality of human partners in social contexts. Profiles are expressed in terms of of identities and preferences bound together. In particular, people’s identity is captured by the use of facial features, while preferences are extracted from the discussion between the partners. Both are bound using an Hebb network. Experiments show the feasibility and the performances of the approach presented.