Results 71 to 80 of about 26,333 (251)

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

Words can interfere with perception at their associated locations: the role of orthography in spatial interference

Language and Cognition
The spatial interference effect, whereby words with implicit spatial associations (e.g., ‘bird’) hinder identification of unrelated visual targets (e.g., a square) at the associated locations (i.e., at the top of a display), has been demonstrated many ...
Elisa Scerrati, Zachary Estes
doaj   +1 more source

When Wine and Apple Both Help the Production of Grapes: ERP Evidence for Post-lexical Semantic Facilitation in Picture Naming

Frontiers in Human Neuroscience, 2018
Background: Producing a word in referential naming requires to select the right word in our mental lexicon among co-activated semantically related words.
Grégoire Python, Raphaël Fargier, Marina Laganaro   +2 more
doaj   +1 more source

Effects of transcranial magnetic stimulation over the left posterior superior temporal gyrus on picture-word interference.

PLoS ONE, 2020
Word-production theories argue that during language production, a concept activates multiple lexical candidates in left temporal cortex, and the intended word is selected from this set.
Vitória Piai, Laura Nieberlein, Gesa Hartwigsen   +2 more
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
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

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

Semantic Processing in Bilingual Aphasia: Evidence of Language Dependency

Frontiers in Human Neuroscience, 2019
Individuals with aphasia frequently show lexical retrieval deficits due to increased interference of semantically related competitors, a phenomenon that can be observed in tasks such as naming pictures grouped by semantic category.
Marco Calabria, Nicholas Grunden, Nicholas Grunden, Mariona Serra, Carmen García-Sánchez, Albert Costa, Albert Costa   +6 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

Modulation of alpha oscillations is required for the suppression of semantic interference

Neurobiology of Learning and Memory, 2017
Recent findings on alpha band oscillations suggest their important role in memory consolidation and suppression of external distractors such as environmental noise. However, less attention was given to the phenomenon of internal distracting information being solely inherent to the stimuli content.
Melnik, Natalia, Mapelli, Igor, Ozkurt, Toga Esat   +2 more
openaire   +3 more sources