Results 91 to 100 of about 12,945 (306)
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska +2 more
wiley +1 more source
THE INFLUENCE OF WATCHING YOUTUBE PRONUNCIATION VIDEOS TOWARDS STUDENTS’ PRONUNCIATION ABILITY
In language teaching, media is one of the tools that very useful to support its successful teaching. In teaching pronunciation, the students need to give additional information how to pronounce words.
Syaifudin Latif Darmawan
doaj +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Pronunciation Assessment Using Speech Technology
After decades of research, language technologies finally entered the mass market in the fall of 2011 with the release of the iPhone 4, whose main innovation was the introduction of Siri, the virtual, speech-directed personal assistant.
Hincks, Rebecca
core
Teaching Spanish Pronunciation Praxis Project Report [PDF]
Pronunciation is active not only when speaking aloud, but when reading, listening, writing or even remembering events or numbers. It also has a strong impact on language learners’ self-esteem.
Bárkányi, Zsuzsanna
core
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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 +2 more
wiley +1 more source
This article discusses the assessment of pronunciation instruction under a new approach to pronunciation teaching centered on the role of connected speech in the prosodic system of English.
Sasha S. Euler
doaj +1 more source
The effect of instruction on sandhi-forms on L2 listening comprehension tasks [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão. Programa de Pós-Graduação em Letras/Inglês e Literatura Correspondente.Este estudo investiga o efeito da instrução de formas sândi (somente sândi externo)
Perucci, Margareth
core
LLM‐Integrated Human–Robot Interaction System for Microrobots
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

