Results 81 to 90 of about 2,393,345 (263)

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

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

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

Mapping the Memory Structure of High-Knowledge Students: A Longitudinal Semantic Network Analysis

Journal of Intelligence
Standard learning assessments like multiple-choice questions measure what students know but not how their knowledge is organized. Recent advances in cognitive network science provide quantitative tools for modeling the structure of semantic memory ...
Simone A. Luchini, Shuyao Wang, Yoed N. Kenett, Roger E. Beaty   +3 more
doaj   +1 more source

Episodic and semantic memory impairments in (very) early Alzheimer’s disease: The diagnostic accuracy of paired-associate learning formats

Cogent Psychology, 2016
Paired-associate learning (PAL) paradigms measure memory processes sensitive to the medial temporal lobe, which shows atrophy in early Alzheimer’s disease (AD).
Pauline E.J. Spaan
doaj   +1 more source

The construction of semantic memory: grammar based representations learned from relational episodic information

Frontiers in Computational Neuroscience, 2011
After acquisition, memories underlie a process of consolidation, making them more resistant to interference and brain injury. Memory consolidation involves systems-level interactions, most importantly between the hippocampus and associated structures ...
Francesco P Battaglia, Cyriel Pennartz
doaj   +1 more source

Be concrete to be comprehended:consistent imageability effects in semantic dementia for nouns, verbs, synonyms and associates [PDF]

, 2013
There are two contrasting views on the nature of comprehension impairment in semantic dementia: (a) that it stems from degradation of a pan-modal "hub" that represents core conceptual knowledge or (b) that it results from degradation of modality-specific
Hoffman, Paul; id_orcid, Jones, Roy W, Lambon Ralph, Matthew A., Lambon Ralph, Matthew A, Jones, Roy W., Hoffman, Paul   +5 more
core   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Episodic and semantic memory functioning in very old age: Explanations from executive functioning and processing speed theories

Cogent Psychology, 2015
Structural equation modeling was used to investigate whether age-related episodic and semantic memory impairments are better explained by decline in processing speed or executive functioning (or both), rather than directly in terms of memory components ...
Pauline E.J. Spaan
doaj   +1 more source