Results 171 to 180 of about 8,038,777 (287)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Assessing genetic counseling efficiency with natural language processing. [PDF]

J Am Med Inform Assoc
Nguyen MH, Applegate CD, Murray B, Zirikly A, Tichnell C, Gordon C, Yanek LR, James CA, Taylor CO.   +8 more
europepmc   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

Advanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus, Fulya Yenilmez, Kadir Ozlem, Hakan Kestir, Eren Tasdemir, Berkant Bakisli, Gökhan Ince, Ozgur Atalay, Asli Tuncay Atalay   +8 more
wiley   +1 more source

Deep learning-based natural language processing for critical care identification in pediatric emergency department. [PDF]

BMC Emerg Med
Kim JA, Cho S, Hwang M, Lee D, Jeon J, Lee R, Lee C, Kim J, Bae W.   +8 more
europepmc   +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

Estimating Nutrient Composition of Packaged Foods Using Natural Language Processing and Optimization Modeling. [PDF]

Curr Dev Nutr
Côté M, Hamadi W, Laramée C, Pomerleau S, Provencher V, Gagné C, Lamarche B.   +6 more
europepmc   +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

Depression classification based on automatic ontology generation and natural language processing. [PDF]

Front Psychol
Goga N, Vasilăteanu A, Popa RC, Popovici AF, Popovici R, Goga M, Todea D, Eni A.   +7 more
europepmc   +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

Knowledge-driven automated prefabricated bridge modeling from natural language using LLM and RAG. [PDF]

Sci Rep
Huang F, Mei D, Yang C, Su C, Ma R.
europepmc   +1 more source