9 citations · 14 across the 8 of their papers we have counts for
5 papers · 1 filter
Online Structure Learning and Planning for Autonomous Robot Navigation using Active Inference
Daria de tinguy, Tim Verbelen, Emilio Gamba +1
Autonomous navigation in unfamiliar environments requires robots to simultaneously explore, localise, and plan under uncertainty, without relying on predefined maps or extensive tr…
Navigation and Exploration with Active Inference: from Biology to Industry
Daria de Tinguy, Tim Verbelen, Bart Dhoedt
By building and updating internal cognitive maps, animals exhibit extraordinary navigation abilities in complex, dynamic environments. Inspired by these biological mechanisms, we p…
Learning Dynamic Cognitive Map with Autonomous Navigation
Daria de Tinguy, Tim Verbelen, Bart Dhoedt
Inspired by animal navigation strategies, we introduce a novel computational model to navigate and map a space rooted in biologically inspired principles. Animals exhibit extraordi…
Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment
Daria de Tinguy, Toon van de Maele, Tim Verbelen +1
Robust evidence suggests that humans explore their environment using a combination of topological landmarks and coarse-grained path integration. This approach relies on identifiabl…
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
Daria de Tinguy, Sven Remmery, Pietro Mazzaglia +2
Learning to navigate unknown environments from scratch is a challenging problem. This work presents a system that integrates world models with curiosity-driven exploration for auto…