Results 91 to 100 of about 85,726 (243)
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Real‑Life Contexts of Spontaneous Family Life Education
RESEARCH OBJECTIVE: The aim of the research is to explore how spontaneous family life education and preparation for adult life takes place in students’ immediate environment in Hungary. THE RESEARCH PROBLEM AND METHODS: Our main research question is “
Gabriella Pusztai +2 more
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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
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
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
Teacher stress among Tawjihi teachers in Jordan and their adopted coping strategies to reduce stress [PDF]
There has been increasing interest in occupational stress during the last two decades. While studies have been carried out in developed countries, few have been conducted in developing countries, particularly in the field of education.
Alghaswyneh, Sawsan A I
core +3 more sources
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
The study of students and parents educational needs in secondary schools in different Iranian sub-cultures [PDF]
The aim of this investigation has been to explore not only the educational needs of the students and their parents in various dimensions but also to take advantage of the opinions of counselors and teachers regarding family education on this issue.
AliReza Assareh, Sadegh Nasri
doaj
Important Messages from Students' Responsive Writing: s a big holloboleoos [PDF]
This thesis explores responsive written feedback as a means of mediating the written language of six to eight year olds, including students traditionally minoritised within mainstream New Zealand classrooms because of cultural and/or language differences.
Vanstone, Brooke
core

