Results 91 to 100 of about 90,452 (269)

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

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
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

Food ontologies for sustainability: the case of meat systems

Agriculture & Food Security
Background The sustainability of food systems, especially of those sourcing and supplying meat, is a major global concern, due to their significant contribution to negative outcomes such as global warming, air and water pollution, and outbreaks of ...
Giorgio A. Ubbiali, Matthew C. Lange, Andrea Borghini   +2 more
doaj   +1 more source

Altered asymmetry of functional connectome gradients in major depressive disorder

Frontiers in Neuroscience
IntroductionMajor depressive disorder (MDD) is a debilitating disease involving sensory and higher-order cognitive dysfunction. Previous work has shown altered asymmetry in MDD, including abnormal lateralized activation and disrupted hemispheric ...
Yaqian Yang, Yaqian Yang, Yi Zhen, Yi Zhen, Xin Wang, Xin Wang, Xin Wang, Xin Wang, Xin Wang, Longzhao Liu, Longzhao Liu, Longzhao Liu, Longzhao Liu, Longzhao Liu, Yi Zheng, Yi Zheng, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Hongwei Zheng, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang   +30 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Altered integrated and segregated states in cocaine use disorder

Frontiers in Neuroscience
IntroductionCocaine use disorder (CUD) is a chronic brain condition that severely impairs cognitive function and behavioral control. The neural mechanisms underlying CUD, particularly its impact on brain integration–segregation dynamics, remain unclear ...
Yi Zheng, Yi Zheng, Yaqian Yang, Yaqian Yang, Yi Zhen, Yi Zhen, Xin Wang, Xin Wang, Xin Wang, Xin Wang, Xin Wang, Longzhao Liu, Longzhao Liu, Longzhao Liu, Longzhao Liu, Longzhao Liu, Hongwei Zheng, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang, Shaoting Tang   +23 more
doaj   +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

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Approximate round number use depends on magnitude

Language and Cognition
Numbers have mathematically defined, formal meanings, which afford precision and objectivity. In practice, however, we show that round numbers are frequently used approximately, and this approximate use depends on magnitude.
Greg Woodin, Alexandra Lorson, Bodo Winter   +2 more
doaj   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source