Results 91 to 100 of about 172,503 (288)

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

A Study of NLP-Based Speech Interfaces in Medical Virtual Reality

Multimodal Technologies and Interaction
Applications of virtual reality (VR) have grown in significance in medicine, as they are able to recreate real-life scenarios in 3D while posing reduced risks to patients.
Mohit Nayak, Jari Kangas, Roope Raisamo
doaj   +1 more source

A New Analysis of Web Customer Service Text Classification of Alexa Virtual Assistant Commands Using a Deep Learning Model [PDF]

Journal of Artificial Intelligence and System Modelling
Text classification, a significant subfield of Natural Language Processing (NLP), plays a vital role in managing and interpreting the ever-increasing volume of textual data generated by modern technology.
Seidakhmet Nurpatsha
doaj   +1 more source

The Usage and Evaluation of Anthropomorphic Form in Robot Design [PDF]

, 2009
There are numerous examples illustrating the application of human shape in everyday products. Usage of anthropomorphic form has long been a basic design strategy, particularly in the design of intelligent service robots.
Choi, Jeong-gun, Kim, Myungsuk
core  

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

An overview of Space Communication Artificial Intelligence for Link Evaluation Terminal (SCAILET) Project [PDF]

A software application to assist end-users of the link evaluation terminal (LET) for satellite communications is being developed. This software application incorporates artificial intelligence (AI) techniques and will be deployed as an interface to LET ...
Petrik, Edward J., Schlegelmilch, Richard F., Shahidi, Anoosh K., Walters, Jerry L.   +3 more
core   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

AR–AI assisted ophthalmic nursing: Preliminary usability study in clinical settings

Digital Health
Objective Ophthalmic ward nursing work is onerous and busy, and many researchers have tried to introduce artificial intelligence (AI) technology to assist nurses in performing nursing tasks. This study aims to use augmented reality (AR) and AI technology
Changke Huang, Yaying Sheng, Hengli Lian, Wenjie Zhang, Hui Lin, Xiaofang Huang, Ning Tang, Lvjun Zhao, Yingxuan Guo   +8 more
doaj   +1 more source

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

IoT
With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection.
Paniti Netinant, Thitipong Utsanok, Meennapa Rukhiran, Suttipong Klongdee   +3 more
doaj   +1 more source