AIMC Topic: Policy

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"We're Still Struggling a Bit to Actually Figure Out What That Means for Government": An Exploration of the Policy Capacity Required to Oversee Robot Technologies in Australia and New Zealand Care Services.

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...
Policy New Zealand Government Australia Robotics
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Learning garment manipulation policies toward robot-assisted dressing.

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...
Clothing Humans Bandages Policy Activities of Daily Living Persons with Disabilities Robotics
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Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games.

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...
Neural Networks, Computer Policy Reward Algorithms Learning
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Research and Forecast Analysis of Financial Stability for Policy Uncertainty.

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...
Forecasting Policy Uncertainty Neural Networks, Computer Humans Algorithms
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Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.

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...
Neural Networks, Computer Learning Nonlinear Dynamics Feedback Policy
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Multirobot Collaborative Pursuit Target Robot by Improved MADDPG.

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...
Models, Theoretical Robotics Computer Simulation Policy Algorithms
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Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.

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.
Optic Nerve Diseases Visual Field Tests Humans Deep Learning Tomography, Optical Coherence Optic Disk Visual Fields Intraocular Pressure Policy Glaucoma Retrospective Studies
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The spectrum of data sharing policies in neuroimaging data repositories.

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...
Information Dissemination Neuroimaging Artificial Intelligence Policy United States Privacy Humans
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The entwinement of policy, design and care scripts: Providing alternative choice-dependency situations with care robots.

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 ...
Policy Robotics Anthropology, Cultural Humans Sweden
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Analysis of random synchronization under bilayer derivative and nonlinear delay networks of neuron nodes via fixed time policies.

ISA transactions Jan 24, 2022
In order to solve a challenging problem, i.e., fixed time synchronization of bilayer networks with derivative coupling and nonlinear delay coupling, fixed time polices are brought to achieve random synchronization for bilayer multiple weight hybrid c...
Neurons Policy Neural Networks, Computer Time Factors Algorithms
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