S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots [PDF]
Semantic mapping is fundamental to enable cognition and high-level planning in robotics. It is a difficult task due to generalization to different scenarios and sensory data types.
CAPOBIANCO, ROBERTO +3 more
core
Representation of Semantic Mappings
The aim of this breakout session was to chart the landscape of existing approaches for representing mappings between heterogeneous models, identify common ideas and formulate research questions to be addressed in the future. In the session, the discussion mainly concerned three aspects: The nature of mappings, existing proposals for mappings and ...
Stuckenschmidt, Heiner, Uschold, Michael
openaire +4 more sources
LVID-SLAM: A Lightweight Visual-Inertial SLAM for Dynamic Scenes Based on Semantic Information
Simultaneous Localization and Mapping (SLAM) remains challenging in dynamic environments. Recent approaches combining deep learning with algorithms for dynamic scenes comprise two types: faster, less accurate object detection-based methods and highly ...
Shuwen Wang +5 more
doaj +1 more source
A Probabilistic Semantics for Cognitive Maps [PDF]
Cognitive maps are a graphical knowledge representation model that describes influences between concepts, each influence being quantified by a value. Most cognitive map models use values the semantics of which is not formally defined. This paper introduces the proba-bilistic cognitive maps, a new cognitive map model where the influence values are ...
Le Dorze, Aymeric +5 more
openaire +2 more sources
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Multi-Objective Location and Mapping Based on Deep Learning and Visual Slam
Simultaneous localization and mapping (SLAM) technology can be used to locate and build maps in unknown environments, but the constructed maps often suffer from poor readability and interactivity, and the primary and secondary information in the map ...
Ying Sun +9 more
doaj +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Coordination et sens relationnel : formes schématiques, paramètres et instructions de cible
English coordinators AND and OR can be considered as cases of linguistic polyvalence (constructing symmetrical or a-symmetrical relations) and polysemy (mapping a number of semantic notions such as escalation, temporal sequence, consequence, condition ...
Martine Sekali
doaj +1 more source
Context, categories and modality: Challenges for the Rumelhart model [PDF]
Three issues are raised in this commentary. First, the mapping of semantic information into the different layers could be done in a more realistic way by using the Context layer to represent situational contexts.
Hampton, J. A.
core +1 more source
CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao +7 more
wiley +1 more source

