Sensors (Basel, Switzerland)
May 8, 2022
When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile robot path planning, due to the limited observable environment of mobile robots, the training efficiency of the path planning model is low, and the convergence s...
International journal of environmental research and public health
Apr 13, 2022
Many countries are experiencing a "care crisis" driven by increasing demand for care services alongside difficulties in recruiting and retaining an appropriate care workforce. One of the solutions offered to this is the use of robotic technologies. W...
Science robotics
Apr 6, 2022
Assistive robots have the potential to support people with disabilities in a variety of activities of daily living, such as dressing. People who have completely lost their upper limb movement functionality may benefit from robot-assisted dressing, wh...
IEEE transactions on neural networks and learning systems
Apr 4, 2022
In this article, we propose a novel semicentralized deep deterministic policy gradient (SCDDPG) algorithm for cooperative multiagent games. Specifically, we design a two-level actor-critic structure to help the agents with interactions and cooperatio...
Computational intelligence and neuroscience
Mar 24, 2022
The instability of financial market will have a great impact on money, bonds, and stocks and affect the economic development of society and people's lives. Therefore, it is very necessary for us to study and predict the financial stability. According...
IEEE transactions on cybernetics
Mar 11, 2022
In this article, we introduce a novel approximate optimal decentralized control scheme for uncertain input-affine nonlinear-interconnected systems. In the proposed scheme, we design a controller and an event-triggering mechanism (ETM) at each subsyst...
Computational intelligence and neuroscience
Feb 25, 2022
Policy formulation is one of the main problems in multirobot systems, especially in multirobot pursuit-evasion scenarios, where both sparse rewards and random environment changes bring great difficulties to find better strategy. Existing multirobot d...
Ophthalmology
Feb 21, 2022
PURPOSE: To develop and validate a deep learning (DL) system for predicting each point on visual fields (VFs) from disc and OCT imaging and derive a structure-function mapping.
Human brain mapping
Feb 10, 2022
Sharing data is a scientific imperative that accelerates scientific discoveries, reinforces open science inquiry, and allows for efficient use of public investment and research resources. Considering these benefits, data sharing has been widely promo...
Sociology of health & illness
Jan 29, 2022
The use of robots to assist feeding has become important for people with an impaired arm function. Yet, despite large-scale dissemination strategies, it has proven difficult to sustain the use of this technology. This ethnographic study draws on the ...