atabak dehban
atabak dehban
Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior TÚcnico, U. Lisboa
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Cited by
Cited by
The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures
A Dehban, J Borrego, R Figueiredo, P Moreno, A Bernardino, ...
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Denoising auto-encoders for learning of objects and tools affordances in continuous space
A Dehban, L Jamone, AR Kampff, J Santos-Victor
2016 IEEE International Conference on Robotics and Automation (ICRA), 4866-4871, 2016
A novel approach for optimization in dynamic environments based on modified artificial fish swarm algorithm
D Yazdani, A Sepas-Moghaddam, A Dehban, N Horta
International Journal of Computational Intelligence and Applications 15 (02á…, 2016
A generic visual perception domain randomisation framework for gazebo
J Borrego, R Figueiredo, A Dehban, P Moreno, A Bernardino, ...
2018 IEEE International Conference on Autonomous Robot Systems andá…, 2018
A robust and efficient framework for fast cylinder detection
R Figueiredo, A Dehban, P Moreno, A Bernardino, J Santos-Victor, ...
Robotics and Autonomous Systems 117, 17-28, 2019
Learning at the ends: From hand to tool affordances in humanoid robots
G Saponaro, P Vicente, A Dehban, L Jamone, A Bernardino, ...
2017 Joint IEEE International Conference on Development and Learning andá…, 2017
A Deep Probabilistic Framework for Heterogeneous Self-Supervised Learning of Affordances
A Dehban, L Jamone, A Kampff, J Santos-Victor
IEEE RAS International Conference on Humanoid Robots (Humanoids), 2017
Automatic generation of object shapes with desired affordances using voxelgrid representation
M Andries, A Dehban, J Santos-Victor
Frontiers in neurorobotics 14, 22, 2020
Action-conditioned benchmarking of robotic video prediction models: a comparative study
MS Nunes, A Dehban, P Moreno, J Santos-Victor
2020 IEEE International Conference on Robotics and Automation (ICRA), 8316-8322, 2020
A cognitive based driver's steering behavior modeling
A Dehban, A Sajedin, MB Menhaj
2016 4th International Conference on Control, Instrumentation, andá…, 2016
3dsgrasp: 3d shape-completion for robotic grasp
SS Mohammadi, NF Duarte, D Dimou, Y Wang, M Taiana, P Morerio, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 3815-3822, 2023
A moderately large size dataset to learn visual affordances of objects and tools using icub humanoid robot
A Dehban, L Jamone, AR Kampff, J Santos-Victor
ECCV Workshop on Action and Anticipation for Visual Learning, 2016
SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics
J DamiŃo Almeida, P Schydlo, A Dehban, J Santos-Victor
arXiv e-prints, arXiv: 2107.08492, 2021
Neuro-ACT cognitive architecture applications in modeling driver’s steering behavior in turns
A Dehban, MB Menhaj, A Sajedin
AUT Journal of Modeling and Simulation 47 (2), 21-29, 2015
Robotic tool use and problem solving based on probabilistic planning and learned affordances
A Antunes, G Saponaro, A Dehban, L Jamone, R Ventura, A Bernardino, ...
IROS Workshop, 2015
Learning deep features for robotic inference from physical interactions
A Dehban, S Zhang, N Cauli, L Jamone, J Santos-Victor
IEEE Transactions on Cognitive and Developmental Systems 15 (3), 985-999, 2022
Shape-Based Attention for Identification and Localization of Cylindrical Objects
R Figueiredo*, A Dehban*, A Bernardino, J Santos-Victor, H Ara˙jo
IEEE International Conference on Developmental and Learning and oná…, 2017
Efficient Resource Allocation for Sparse Multiple Object Tracking
Proceedings of the 12th International Joint Conference on Computer Visioná…, 2017
Robotic Interactive Physics Parameters Estimator (RIPPE)
A Dehban*, C Cardoso*, P Vicente, A Bernardino, J Santos-Victor
2019 Joint IEEE 9th International Conference on Development and Learning andá…, 2019
Ego-Foresight: Agent Visuomotor Prediction as Regularization for RL
MS Nunes, A Dehban, Y Demiris, J Santos-Victor
arXiv preprint arXiv:2407.01570, 2024
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