Results 121 to 130 of about 662 (239)
Évaluation comparative d’approches de pilotage dans une chaîne logistique forestière
La forêt représente une source avantageuse et renouvelable de matières premières, en nourrissant notamment les activités de production, de construction et de consommation tout en assurant une dynamique économique.
Alayet, Chaker
core
Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]
Zhou W, Zhang W, Sun S, Zhang Y.
europepmc +1 more source
Suite aux engagements pris lors du Grenelle Environnement, le Ministère de l'agriculture élabore le plan Écophyto 2018 pour atteindre l'objectif d'une réduction de 50 % de l'usage des pesticides en agriculture en 2018. L'État a structuré l'évaluation du plan Écophyto en mobilisant trois indicateurs agro-environnementaux (NODU, QSA et IFT) pour mesurer ...
openaire +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Quantifying the Physiological Stress Response to Simulated Maritime Pilotage Tasks: The Influence of Task Complexity and Pilot Experience. [PDF]
Main LC, Wolkow A, Chambers TP.
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Computer Vision over 4G/5G Private Network for Real-Time Draft Assessment to Estimate Vessel Productivity. [PDF]
Mathias TN +8 more
europepmc +1 more source
Health reforms and policy capacity: the Canadian experience. [PDF]
Denis JL, Usher S, Préval J.
europepmc +1 more source
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

