Results 31 to 40 of about 3,734,331 (285)

Resilience of performers and the diversity of approaches to professional reorientation in times of crisis

open access: yesCogent Arts & Humanities
The purpose of the article is to show the relationship, its strength and nature, between the resilience of performers in the performing arts and their intentions to reorient their careers, particularly towards pursuing dual careers.
Patrycja Mizera-Pęczek   +3 more
doaj   +1 more source

Prosignification in Art Education: Project-Based and Meaningful Learning Towards Active Learning

open access: yesEncyclopedia
Prosignification is defined as the process through which the subject generates new meanings by engaging in aesthetic experience, critical reflection, and creative action.
Nora Ramos-Vallecillo   +1 more
doaj   +1 more source

Theory and practice between art and pedagogy in the art school

open access: yes, 2016
Constructing a Reflective Site was a fine art practice-based Ph.D. project, which considered the relationship between art practice and teaching.
Hjelde, Katrine
core   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

open access: yesAdvanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday   +3 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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

Art history techniques and Sámi pedagogy in Norway: connecting art history, tradition and nature

open access: yesEducation in the North
This article was developed with the concept of intra-action, emphasizing a deep connection with environments and nature, and explored how intra-action in Sámi pedagogy could be linked to teaching art history to children and youth.
Marija Griniuk
doaj   +1 more source

Performance Pedagogy: Performing Fluxus Pedagogy in a Contemporary Lithuanian Context

open access: yesActa Paedagogica Vilnensia, 2020
Educators practice performance pedagogy as the method where an educator/facilitator is seen as a performer or actor (Pineau 1994, p. 4). This paper presents an analysis of the historical roots of performance pedagogies in Fluxus pedagogies and ...
Marija Griniuk
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced 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   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced 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

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