U
Uriel Martinez-Hernandez
Researcher at University of Bath
Publications - 73
Citations - 1213
Uriel Martinez-Hernandez is an academic researcher from University of Bath. The author has contributed to research in topics: Robot & Gait (human). The author has an hindex of 17, co-authored 73 publications receiving 905 citations. Previous affiliations of Uriel Martinez-Hernandez include Imperial College London & University of Leeds.
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Journal ArticleDOI
Two-dimensional simulation of grain structure growth within selective laser melted AA-2024
TL;DR: In this paper, a two-dimensional cellular automata coupled model was developed to predict the microstructures formed during the laser melting of a powdered AA-2024 feedstock using the additive manufacturing (AM) process Selective Laser Melting (SLM).
Proceedings ArticleDOI
Active contour following to explore object shape with robot touch
Uriel Martinez-Hernandez,Tony J. Dodd,Lorenzo Natale,Giorgio Metta,Tony J. Prescott,Nathan F. Lepora +5 more
TL;DR: This work proposes a control architecture that implements a perception-action cycle for the exploratory procedure, which allows the fingertip to react to tactile contact whilst regulating the applied contact force.
Journal ArticleDOI
Tactile Superresolution and Biomimetic Hyperacuity
Nathan F. Lepora,Uriel Martinez-Hernandez,Mathew H. Evans,Lorenzo Natale,Giorgio Metta,Tony J. Prescott +5 more
TL;DR: Three key factors underlying superresolution that enable the perceptual acuity to surpass the sensor resolution are identified and envisage that these principles will enable cheap high-acuity tactile sensors that are highly customizable to suit their robotic use.
Proceedings ArticleDOI
Active Bayesian perception for angle and position discrimination with a biomimetic fingertip
TL;DR: This work applies active Bayesian perception to angle and position discrimination and extends the method to perform actions in a sensorimotor task using a biomimetic fingertip, observing a significant improvement over passive methods that lack a sensorsimotor loop for actively repositioning the sensor.
Journal ArticleDOI
Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors.
TL;DR: The proposed adaptive recognition system is accurate, fast and robust to sensor noise, but also capable to adapt its own performance over time, and demonstrates to be a robust and suitable computational approach for the intelligent recognition of activities of daily living using wearable sensors.