Results 101 to 110 of about 81,755 (261)

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

A Governance Aware Ontology Based Analytics Framework for Scholarly Knowledge Graphs Using Budgeted Semantic Coverage Optimization

Technologies
This study presents GAGER, a governance-aware ontology-based framework for scholarly knowledge graph analytics evaluated as a single-university case study.
Esteban Inga, Vladimir Robles, Daniel Lopez, Daniel Pinargo   +3 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

Semantic accessibility effects of character semantic radicals in Chinese phonograms' recognition

Frontiers in Language Sciences
IntroductionPrior research concentrated on testifying to the presence of the semantic activation of semantic radicals as well as the separate role of a couple of modulating factors like Transparency of phonograms, Genuineness of phonograms, and Position ...
Meng Jiang, Meng Jiang, Ting Cao, Ting Cao, Ya Tan, Jixiang Duan, Daiyue Qu   +6 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

What Fires Together, Wires Together: The Effect of Idiomatic Co-Occurrence on Lexical Networks

Languages
This study investigated the processing of lexical elements of idioms in isolation. Using visual word priming, spreading activation for idiomatically related word pairs (e.g., pop–question) was compared to that for semantically related (e.g., answer ...
Simone A. Sprenger, Sara D. Beck, Andrea Weber   +2 more
doaj   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Using Random Forests on Real-World City Data for Urban Planning in a Visual Semantic Decision Support System. [PDF]

Sensors (Basel), 2019
Sideris N, Bardis G, Voulodimos A, Miaoulis G, Ghazanfarpour D.   +4 more
europepmc   +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