22 citations · 52 across the 9 of their papers we have counts for
11 papers · 1 filter
Learning Policies for Continuous Control via Transition Models
Justus Huebotter, Serge Thill, Marcel van Gerven +1
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). Howev…
Reclaiming saliency: rhythmic precision-modulated action and perception
Ajith Anil Meera, Filip Novicky, Thomas Parr +3
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 informatio…
Robot Localization and Navigation through Predictive Processing using LiDAR
Daniel Burghardt, Pablo Lanillos
Knowing the position of the robot in the world is crucial for navigation. Nowadays, Bayesian filters, such as Kalman and particle-based, are standard approaches in mobile robotics.…
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception
Pablo Lanillos, Marcel van Gerven
Unlike robots, humans learn, adapt and perceive their bodies by interacting with the world. Discovering how the brain represents the body and generates actions is of major importan…
Multimodal VAE Active Inference Controller
Cristian Meo, Pablo Lanillos
Active inference, a theoretical construct inspired by brain processing, is a promising alternative to control artificial agents. However, current methods do not yet scale to high-d…
Robot in the mirror: toward an embodied computational model of mirror self-recognition
Matej Hoffmann, Shengzhi Wang, Vojtech Outrata +2
Self-recognition or self-awareness is a capacity attributed typically only to humans and few other species. The definitions of these concepts vary and little is known about the mec…