Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Lanillos, P."'
Autor:
Meera, Ajith Anil, Lanillos, Pablo
Self-reflecting about our performance (e.g., how confident we are) before doing a task is essential for decision making, such as selecting the most suitable tool or choosing the best route to drive. While this form of awareness -- thinking about our
Externí odkaz:
http://arxiv.org/abs/2403.03808
Autor:
Della Santina, Cosimo, Corbato, Carlos Hernandez, Sisman, Burak, Leiva, Luis A., Arapakis, Ioannis, Vakalellis, Michalis, Vanderdonckt, Jean, D'Haro, Luis Fernando, Manzi, Guido, Becchio, Cristina, Elamrani, Aïda, Alirezaei, Mohsen, Castellano, Ginevra, Dimarogonas, Dimos V., Ghosh, Arabinda, Haesaert, Sofie, Soudjani, Sadegh, Stroeve, Sybert, Verschure, Paul, Bacciu, Davide, Deroy, Ophelia, Bahrami, Bahador, Gallicchio, Claudio, Hauert, Sabine, Sanz, Ricardo, Lanillos, Pablo, Iacca, Giovanni, Sigg, Stephan, Gasulla, Manel, Steels, Luc, Sierra, Carles
Consciousness has been historically a heavily debated topic in engineering, science, and philosophy. On the contrary, awareness had less success in raising the interest of scholars in the past. However, things are changing as more and more researcher
Externí odkaz:
http://arxiv.org/abs/2402.09030
Autor:
Meera, Ajith Anil, Lanillos, Pablo
The accurate estimation of the noise covariance matrix (NCM) in a dynamic system is critical for state estimation and control, as it has a major influence in their optimality. Although a large number of NCM estimation methods have been developed, mos
Externí odkaz:
http://arxiv.org/abs/2308.07797
Autor:
Taniguchi, Tadahiro, Murata, Shingo, Suzuki, Masahiro, Ognibene, Dimitri, Lanillos, Pablo, Ugur, Emre, Jamone, Lorenzo, Nakamura, Tomoaki, Ciria, Alejandra, Lara, Bruno, Pezzulo, Giovanni
Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and developmental robotics. Their learning processes should be based on interact
Externí odkaz:
http://arxiv.org/abs/2301.05832
Efficient and robust control using spiking neural networks (SNNs) is still an open problem. Whilst behaviour of biological agents is produced through sparse and irregular spiking patterns, which provide both robust and efficient control, the activity
Externí odkaz:
http://arxiv.org/abs/2212.12887
It is doubtful that animals have perfect inverse models of their limbs (e.g., what muscle contraction must be applied to every joint to reach a particular location in space). However, in robot control, moving an arm's end-effector to a target positio
Externí odkaz:
http://arxiv.org/abs/2209.08033
The world consists of objects: distinct entities possessing independent properties and dynamics. For agents to interact with the world intelligently, they must translate sensory inputs into the bound-together features that describe each object. These
Externí odkaz:
http://arxiv.org/abs/2209.01258
The underlying processes that enable self-perception are crucial for understanding multisensory integration, body perception and action, and the development of the self. Previous computational models have overlooked an essential aspect: affective or
Externí odkaz:
http://arxiv.org/abs/2208.13213
Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual information between the (current) visual information and its estimated causes. H
Externí odkaz:
http://arxiv.org/abs/2203.12652
Adaptation to external and internal changes is major for robotic systems in uncertain environments. Here we present a novel multisensory active inference torque controller for industrial arms that shows how prediction can be used to resolve adaptatio
Externí odkaz:
http://arxiv.org/abs/2112.06752