Results 71 to 80 of about 1,593,960 (305)
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
Le programme mis à jour de MAPS 10 est disponible ici Téléchargez le PDF ici: nouveau programme MAPS 10_7Juin2017 A très ...
Réseau MAPS
core
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
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
From semantic distance to creative text: Rare word pairings shape creativity judgments
While individual semantic map structure has been proposed as a foundation for creative text generation, conventional group-aggregated network metrics obscure the idiosyncratic features that may drive creative output.
Illia Kuznietsov +6 more
doaj +1 more source
C'est par où la piscine?! Retrouvez l'album souvenir public de MAPS 10 en ligne ici et l'album complet sur demande (réservé aux participants) Lisez aussi le compte-rendu de MAPS 10 du point de vue d'un archéologue et d'un ...
Réseau MAPS
core
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Not all coexpressions are syncretisms: Limiting Nanosyntax
This paper revises the findings of Dekier (2021) concerning the syncretism and containment of indefinites in light of their semantic implausibility and empirical inadequacy, compared to the alternative semantic approach of Degano & Aloni (2025), and ...
doaj +2 more sources
This investigation is a large-scale comparative corpus study of the oppositive contrast domain (also called “semantic opposition”) based on parallel texts.
Wälchli Bernhard
doaj +1 more source
A Systematic Review of Robot Topological Semantic Mapping and Localization for Spatial Understanding
World representation is a fundamental robotics problem. Topological semantic maps compress complex environmental data into lightweight graph structures enriched with semantic information, forming compact world models that support high-level reasoning and
Feroz Fernando +3 more
doaj +1 more source

