Verónica Esther Arriola Ríos
Verónica Esther Arriola Ríos
Research Student, University of Birmingham
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Cited by
Cited by
Modeling of deformable objects for robotic manipulation: A tutorial and review
VE Arriola-Rios, P Guler, F Ficuciello, D Kragic, B Siciliano, JL Wyatt
Frontiers in Robotics and AI, 82, 2020
A multimodal model of object deformation under robotic pushing
VE Arriola-Rios, JL Wyatt
IEEE Transactions on Cognitive and Developmental Systems 9 (2), 153-169, 2017
How to build an information gathering and processing system: Lessons from naturally and artificially intelligent systems
J Chappell, ZP Demery, V Arriola-Rios, A Sloman
Behavioural Processes 89 (2), 179-186, 2012
2D Mass-spring-like Model for Prediction of a Sponge’s Behaviour upon Robotic Interaction
VE Arriola-Rios, J Wyatt
International Conference on Innovative Techniques and Applications of …, 2011
Construct to Understand: Learning through Exploration
Z Demery, VEA Rios, A Sloman, J Wyatt, J Chappell
Salient Features and Snapshots in Time: an interdisciplinary perspective on object representation
VE Arriola-Rios, ZP Demery, J Wyatt, A Sloman, J Chappell
Computing Nature, 171-184, 2013
Learning to predict the behaviour of deformable objects through and for robotic interaction
VE Arriola Rios
University of Birmingham, 2013
Knowledge acquisition and automatic generation of rules for the inference machine CLIPS
V Arriola, J Savage
MICAI 2007: Advances in Artificial Intelligence, 725-735, 2007
How do robots and parrots learn about deformable objects?
V Arriola-Rios, Z Demery
F1000Research 3, 2012
Image Processing, Computer Vision, and Robotics-Knowledge Acquisition and Automatic Generation of Rules for the Inference Machine CLIPS
VE Arriola, J Savage
Lecture Notes in Computer Science 4827, 725-735, 2007
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