This work presents a novel Voice in Head (ViH) framework, that integrates Large Language Models (LLMs) and the power of semantic understanding to enhance robotic navigation and interaction within complex environments. Our system strategically combine...
INTRODUCTION: Advances in artificial intelligence (AI) offer physical therapy educators opportunities to improve student learning. We applied AI to identify themes and determine the extent to which physical therapy professional values were reflected ...
BACKGROUND: Despite a variety of literature reviews, there is limited understanding of the learning strategies healthcare professionals use to help patients adopt and maintain effective foot care practices.
As educational environments become more diverse, adaptive technologies like social robots hold promise for providing individual support to learners. This study investigated the role of adaptive teaching of a robot on students' learning outcomes, emot...
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Neural networks : the official journal of the International Neural Network Society
Feb 21, 2025
In this paper, a novel self-triggered optimal tracking control method is developed based on the online action-critic technique for discrete-time nonlinear systems. First, an augmented plant is constructed by integrating the system state with the refe...
Neural networks : the official journal of the International Neural Network Society
Feb 13, 2025
Endowing robots with human-like emotional and cognitive abilities has garnered widespread attention, driving deep investigations into the complexities of these processes. However, few studies have examined the intricate circuits that govern the inter...
Neural networks : the official journal of the International Neural Network Society
Feb 13, 2025
This article presents the master-slave time-delayed competitive neural networks in space-time discretized frames(STD-CNNs) with the heterogeneous structure, induced by the design of an adaptive learning parameter in the slave STD-CNNs. This article a...
Neural networks : the official journal of the International Neural Network Society
Feb 10, 2025
For unknown nonlinear systems with state constraints, it is difficult to achieve the safe optimal control by using Q-learning methods based on traditional quadratic utility functions. To solve this problem, this article proposes an accelerated safe Q...
Neural networks : the official journal of the International Neural Network Society
Feb 8, 2025
In model-based reinforcement learning (RL) approaches, the estimated model of a real environment is learned with limited data and then utilized for policy optimization. As a result, the policy optimization process in model-based RL is influenced by b...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.