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Cooperative industrial multi robot system using multi agent reinforcement learning
(Athlone Institute of Technology, 2020-06)
This poster describes the research definition process for thisearly stage PhD.
Our goal is to investigate the feasibility of using multi-agent deep learning (MADRL) as an approach for solving cooperative multi robot system ...
Optimization of Ethereum transaction and block delivery performance
(2022)
Blockchain is a type of distributed ledger. It is a chain of blocks. Each block contains a series of transactions. Each transaction
is for a value transfer or a smart contract execution. The main purpose of the blockchain ...
The context aware security policy language for Zero Trust Network
(Athlone Institute of Technology, 2020-06)
With the development of the pervasive computing, the number of devices accessing to network is increasing. Though this condition brings us a more convenient and intelligent lifestyle, accompanying with it is the higher ...
Quality of user experience evaluation with emotion recognition from peripheral physiological signals
(Technological University of the Shannon Midlands Midwest, 2022)
Quality of Experience (QoE), which is a measure of a user’s degree of delight
or annoyance, is traditionally captured using human reports which are
subjective by nature. Similarly, estimation of human emotions is grouped ...
Implementation of reinforcement learning algorithms for robotic pick and place with non-visual sensing
(TUS Midlands Midwest, 2022)
The term ‘Industry 4.0’ appeared for the first time in 2011 and saw the
introduction of many cutting-edge technologies such as Cyber-Physical
Systems (CPS), Internet of Things (IoT), and Digital Twins (DT). World
leading ...
Evaluation of ethereum end-to-end transaction
(Athlone Institute of Technology, 2020-06)
Ethereum is a conventional but evolving blockchain
approach to support smart contract by enabling Turingcomplete
computations at miners. With smart contract as a
back-end support, anyone can publish their Decentralize ...
Smart contract driven resource management for edge computing
(Athlone Institute of Technology, 2020-06)
Edge computing has witnessed a rapid growth in the past few years
as more and more and resources are getting connected to the
Internet. The Internet is not gaining any benefits from the current
implementation of ad hoc ...
Discrete event simulation of a multi robot pick and place system for reinforcement learning research
(Technological University of the Shannon Midlands Midwest, 2022-01)
This poster described a implementation of simulation environment for a Pick and
Place conveyer belt for multi robot system based on the Gym library to be used to
train Reinforcement Learning agents - see figure below. ...
A quality of experience evaluation of example versus procedural instruction formats for augmented reality based procedure training
(TUS Midlands Midwest, 2022)
Augmented reality (AR) is a technology that can enhance the user’s world view with computer
generated information.
This information can take the form of the domain-specific instructions required for successful
completion ...
A reinforcement learning based collaboration framework for autonomous mobile robots
(Technological University of the Shannon Midlands Midwest, 2022)
Manufacturing has shifted from mass production to mass customisation. The increased product varieties have created significant challenges in the manufacturing process. This
demands reconfigurable work cells and manufacturing ...