14 citations · 39 across the 10 of their papers we have counts for
10 papers
Set based velocity shaping for robotic manipulators
Ryan McGovern, Nikolaos Athanasopolous, Seán McLoone
We develop a new framework for trajectory planning on predefined paths, for general N-link manipulators. Different from previous approaches generating open-loop minimum time contro…
Fixed-time Integral Sliding Mode Control for Admittance Control of a Robot Manipulator
Yuzhu Sun, Mien Van, Stephen McIlvanna +2
This paper proposes a novel fixed-time integral sliding mode controller for admittance control to enhance physical human-robot collaboration. The proposed method combines the benef…
Adaptive Admittance Control for Safety-Critical Physical Human Robot Collaboration
Yuzhu Sun, Mien Van, Stephen McIlvanna +2
Physical human-robot collaboration requires strict safety guarantees since robots and humans work in a shared workspace. This letter presents a novel control framework to handle sa…
AIMD scheduling and resource allocation in distributed computing systems
Eleftherios Vlahakis, Nikolaos Athanasopoulos, Sean McLoone
We consider the problem of simultaneous scheduling and resource allocation of an incoming flow of requests to a set of computing units. By representing each computing unit as a nod…
Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction
Dianhao Zhang, Ngo Anh Vien, Mien Van +1
3D skeleton-based motion prediction and activity recognition are two interwoven tasks in human behaviour analysis. In this work, we propose a motion context modeling methodology th…
Lazy FSCA for Unsupervised Variable Selection
Federico Zocco, Marco Maggipinto, Gian Antonio Susto +1
Various unsupervised greedy selection methods have been proposed as computationally tractable approximations to the NP-hard subset selection problem. These methods rely on sequenti…
Material Measurement Units for a Circular Economy: Foundations through a Review
Federico Zocco, Seán McLoone, Beatrice Smyth
Long-term availability of minerals and industrial materials is a necessary condition for sustainable development as they are the constituents of any manufacturing product. To enhan…
Recovery of Linear Components: Reduced Complexity Autoencoder Designs
Federico Zocco, Seán McLoone
Reducing dimensionality is a key preprocessing step in many data analysis applications to address the negative effects of the curse of dimensionality and collinearity on model perf…
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training
Federico Zocco, Seán McLoone
Motivated by the potential for parallel implementation of batch-based algorithms and the accelerated convergence achievable with approximated second order information a limited mem…
Efficient Marginal Likelihood Computation for Gaussian Process Regression
Andrea Schirru, Simone Pampuri, Giuseppe De Nicolao +1
In a Bayesian learning setting, the posterior distribution of a predictive model arises from a trade-off between its prior distribution and the conditional likelihood of observed d…