Results 61 to 70 of about 23,670,049 (291)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Syntactic complexity in translated and non-translated texts: A corpus-based study of simplification.

PLoS ONE, 2021
This study approaches the investigation of the simplification hypotheses in corpus-based translation studies from a syntactic complexity perspective. The research is based on two comparable corpora, the English monolingual part of COCE (Corpus of Chinese-
Kanglong Liu, Muhammad Afzaal
doaj   +1 more source

TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception

Advanced Robotics Research, EarlyView.
TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei, Gurmeher Khurana, Sirine Bhouri, Wenhao Hong, Zeyuan Xin, Qingzheng Cong, Wen Fan, Yanzheng Xiang, Dandan Zhang   +8 more
wiley   +1 more source

Thymosin Alpha‐1 Provides Direct Neuroprotection by Engaging the Orexin Receptor HCRTR1 to Suppress Neuronal Necroptosis

Advanced Science, EarlyView.
In this study, we unveil a thymus‐brain endocrine axis wherein Tα1 engages HCRTR1 to inhibit RIPK3‐mediated necroptosis. This study nominates the Tal‐HCRTR1‐RIPK3 axis as a potent and clinically translatable therapeutic target for stroke and neurodegeneration.
Xinmei Kang, Shisi Wang, Liubin Zhang, Mengyan Hu, Xiaotao Su, Yuxin Liu, Qin Qin, Haotong Yi, Liling Yuan, Wei Cai, Lei Wei, Zhengqi Lu   +11 more
wiley   +1 more source

Co‐Delivery of Sustained Release Chondroitinase ABC‐37 With Human iPSC‐Derived Neural Progenitors Promotes Transplant Survival and Functional Recovery in a Rodent Model of Stroke

Advanced Science, EarlyView.
A regenerative strategy for stroke combines human stem cell–derived neural progenitor cells with sustained release of a matrix‐modifying, thermostable chondroitinase ABC‐37 enzyme. In a rat model of stroke, co‐delivery enhanced transplanted cell survival and neuronal differentiation, degraded inhibitory extracellular matrix components, and improved ...
Nitzan Letko Khait, David Xinzheyang Li, Keyi Guo, Hong Cui, Quinton Sirianni, Dhana Abdo, Cindi M. Morshead, Molly S. Shoichet   +7 more
wiley   +1 more source

Marker-based filtering of bilingual phrase pairs for SMT [PDF]

, 2009
State-of-the-art statistical machine translation systems make use of a large translation table obtained after scoring a set of bilingual phrase pairs automatically extracted from a parallel corpus.
Sánchez-Martínez, Felipe, Way, Andy
core   +1 more source

Accuracy-based scoring for DOT: towards direct error minimization for data-oriented translation [PDF]

, 2009
In this work we present a novel technique to rescore fragments in the Data-Oriented Translation model based on their contribution to translation accuracy.
Galron, Daniel, Melamed, I. Dan, Way, Andy, Penkale, Sergio   +3 more
core   +2 more sources

Compilation de normes de traduction par l’annotation de corpus parallèles bilingues

ILCEA, 2018
We propose a method for the discovery and compilation of translation standards of specialized concepts used in simple and complex terms attested in a parallel bilingual corpus. The standards of translation developed by this method have the characteristic
Éric Poirier
doaj   +1 more source