Results 171 to 180 of about 317,832 (316)

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

Commentary on the T1D Exchange Quality Improvement Collaborative Learning Session November 2025 Abstracts. [PDF]

J Diabetes
Crossen SS, Rioles N, Rainey C, Akturk HK.   +3 more
europepmc   +1 more source

Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol

Advanced Robotics Research, EarlyView.
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong, Yucheng Luo, Rob Bernardus Nicolaas Scharff   +2 more
wiley   +1 more source

Building Switching Hybrid Recommender System Using Machine Learning Classifiers and Collaborative Filtering

, 2010
Recommender systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Prugel-Bennett, Adam, Ghazanfar, Mustansar   +1 more
core  

Collaborative learning

This chapter examines cooperative and collaborative learning in middle years education. The author explores theories that underpin these teaching practices and explains the differences between the two approaches. Working definitions for both are provided
Main, Katherine
core   +1 more source

Structure-aware Multi-task Collaborative Learning: a multi-task collaborative learning framework for peptide-protein interaction prediction based on structure-aware protein language models. [PDF]

Brief Bioinform
He S, Tang D, Zhu T, Zhu Z, Liu Y, Zhang J.   +5 more
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Human-Machine Collaborative Learning for Streaming Data-Driven Scenarios. [PDF]

Sensors (Basel)
Yang F, Zhang X, Yu Z.
europepmc   +1 more source

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

Semantic Web Assisted Learning Experience Management – Architecture and Strategy for Collaborative Learning Experience Sharing

, 2006
We propose in this paper a semantic web driven learning management architecture that supports collaborative learning, i.e., learning by reusing, sharing experience and building knowledge together within a particular domain. We address different phases of
Millard, David, Zalfan, Mohd, Davis, hugh, Tao, Feng, Chen, liming   +4 more
core