Results 121 to 130 of about 61,046 (248)

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

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

Advanced 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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Ten tips to encourage student interaction with screen-capture type vodcasts

Advances in Medical Education and Practice, 2018
Robin K Pettit School of Osteopathic Medicine in Arizona, A. T. Still University, Mesa, AZ, USA Abstract: Video podcasts (vodcasts) are gaining popularity in medical education, but they can be a passive learning modality if students do not actively ...
Pettit RK
doaj  

How Need-Thwarting Teaching Styles Are Combined for Physical Education Teachers: Differences in Students’ Motivational Outcomes

Education Sciences
Grounded in the circumplex model, this study examined how need-thwarting teaching styles, control and chaos, are combined by Physical Education teachers (as perceived by students) and how these combinations differ in relation to students’ basic ...
Javier García-Cazorla, Carlos Mayo-Rota, Zilia Villafaña-Samper, Diego Esteban-Torres, Luis García-González, Ángel Abós   +5 more
doaj   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Implementing physically active learning in secondary schools from teachers’ perspectives: benefits, concerns, and conditions for success

Frontiers in Education
IntroductionPhysically active learning (PAL) is rarely implemented in secondary schools despite its documented benefits. Teachers’ perceptions of their own professional competence are central to how pedagogical innovations are interpreted, adopted, and ...
Tjari Klimpki, Claus Krieger, Katrin Steinvoord   +2 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
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, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Advancing Solar Flare Forecasting with a Deep Learning Approach Using Multimodal Inputs

The Astrophysical Journal
Solar flares are among the most energetic phenomena in the solar system, and their forecasting remains a major challenge in space weather research. In this study, we present a deep learning framework that predicts the occurrence of ≥C5.0-class flares ...
Elizabeth Doria Rosales, Pablo Muñoz, Consuelo Cid, Vincenzo Carbone, Fabio Lepreti, Leonardo Primavera   +5 more
doaj   +1 more source