Results 81 to 90 of about 56,827 (264)
AbstractWe present an automated technique for computing a map between two genus‐zero shapes, which matches semantically corresponding regions to one another. Lack of annotated data prohibits direct inference of 3D semantic priors; instead, current state‐of‐the‐art methods predominantly optimize geometric properties or require varying amounts of manual ...
Luca Morreale +3 more
openaire +3 more sources
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Towards a Meaningful 3D Map Using a 3D Lidar and a Camera
Semantic 3D maps are required for various applications including robot navigation and surveying, and their importance has significantly increased. Generally, existing studies on semantic mapping were camera-based approaches that could not be operated in ...
Jongmin Jeong +2 more
doaj +1 more source
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Semantic potential field for mobile robot navigation using grid maps
Traditional navigation methods for mobile robots face significant challenges in dynamic environments, including local minima avoidance and efficient path planning.
Truong Son Nguyen +2 more
doaj +1 more source
3D Mapping with Semantic Knowledge [PDF]
A basic task of rescue robot systems is mapping of the environment. Localizing injured persons, guiding rescue workers and excavation equipment requires a precise 3D map of the environment. This paper presents a new 3D laser range finder and novel scan matching method for the robot Kurt3D [9].
Andreas Nüchter +5 more
openaire +1 more source
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
Causal inference of diachronic semantic maps from cross-linguistic synchronic polysemy data
Semantic maps are used in lexical typology to summarize cross-linguistic implicational universals of co-expression between meanings in a domain. They are defined as networks which, using as few links as possible, connect the meanings so that every ...
Johannes Dellert
doaj +1 more source
Analyzing Semantic Maps: A Multifactorial Approach
In this paper I argue that semantic similarity is not the only factor which motivates polysemy patterns cross-linguistically; I also show that these other factors (markedness, distinguishability, etc) may give rise to polysemies which are problematic for
Andrej L. Malchukov
doaj +1 more source
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source

