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 7, 82, 2020 | 120 | 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 | 37 | 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 | 14 | 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 | 4 | 2011 |
Construct to Understand: Learning through Exploration Z Demery, VEA Rios, A Sloman, J Wyatt, J Chappell | 3* | |
Learning to predict the behaviour of deformable objects through and for robotic interaction VE Arriola Rios University of Birmingham, 2013 | 2 | 2013 |
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: Turing Centenary Perspective, 171-184, 2013 | 2 | 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 | 1 | 2007 |
Prediction of Deformations on Elastic Objects Using an LSTM Model L Vazquez-Aguilar, VE Arriola-Rios International Conference on Interactive Collaborative Robotics, 59-72, 2024 | | 2024 |
Robo-Surveillance of a Solar Park for a Workshop in Interdisciplinary Education VE Arriola-Ríos, RC Arzate Trujillo, JA Franco Piña, ... International Conference on Interactive Collaborative Robotics, 116-130, 2024 | | 2024 |