12 citations · 14 across the 6 of their papers we have counts for
6 papers · 1 filter
When Obstacles Bend: Modeling Vegetation Deformation in the context of Field Robotics
Zaar Khizar, Tom Montagnon, Roland Lenain +2
Autonomous robots operating in natural environments must often interact with vegetation rather than simply avoid it. In this context, traversability is typically defined from the r…
Feeling the Force: A Nuanced Physics-based Traversability Sensor for Navigation in Unstructured Vegetation
Zaar Khizar, Johann Laconte, Roland Lenain +1
In many applications, robots are increasingly deployed in unstructured and natural environments where they encounter various types of vegetation. Vegetation presents unique challen…
Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments
Elie Randriamiarintsoa, Johann Laconte, Benoit Thuilot +1
Autonomous navigation in unknown 3D environments is a key issue for intelligent transportation, while still being an open problem. Conventionally, navigation risk has been focused…
Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
Johann Laconte, Elie Randriamiarintsoa, Abderrahim Kasmi +4
In the context of autonomous vehicles, one of the most crucial tasks is to estimate the risk of the undertaken action. While navigating in complex urban environments, the Bayesian…
A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in Unstructured Environments
Johann Laconte, Abderrahim Kasmi, François Pomerleau +4
In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one m…
Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment
Johann Laconte, Christophe Debain, Roland Chapuis +2
In a context of autonomous robots, one of the most important task is to ensure the safety of the robot and its surrounding. Most of the time, the risk of navigation is simply said…