Atabak Dehban

According to our database, Atabak Dehban authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AI-Powered Augmented Reality for Satellite Assembly, Integration and Test.

Alvaro Patricio, Joao Valente, Atabak Dehban, Ines Cadilha, Daniel Reis, Rodrigo Ventura

CoRR, 2024

Ego-Foresight: Agent Visuomotor Prediction as Regularization for RL.

Manuel S. Nunes, Atabak Dehban, Yiannis Demiris, José Santos-Victor

CoRR, 2024

Learning the Sequence of Packing Irregular Objects from Human Demonstrations: Towards Autonomous Packing Robots.

André Santos, Nuno Ferreira Duarte, Atabak Dehban, José Santos-Victor

Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023

Learning Deep Features for Robotic Inference From Physical Interactions.

Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor

IEEE Trans. Cogn. Dev. Syst., September, 2023

3DSGrasp: 3D Shape-Completion for Robotic Grasp.

Seyed Saber Mohammadi, Nuno Ferreira Duarte, Dimitris Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, Alessio Del Bue, José Santos-Victor

CoRR, 2023

3DSGrasp: 3D Shape-Completion for Robotic Grasp.

Seyed Saber Mohammadi, Nuno Ferreira Duarte, Dimitrios Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, Alessio Del Bue, José Santos-Victor

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Robotic Learning the Sequence of Packing Irregular Objects from Human Demonstrations.

André Santos, Atabak Dehban, José Santos-Victor

CoRR, 2022

I Have Seen that Before: Memory Augmented Neural Network for Learning Affordances by Analogy.

Paul Schydlo, Laura Santos, Atabak Dehban, Akhil John, José Santos-Victor

Proceedings of the IEEE International Conference on Development and Learning, 2022

Benchmarking shape completion methods for robotic grasping.

João Balão, Atabak Dehban, Plinio Moreno, José Santos-Victor

Proceedings of the IEEE International Conference on Development and Learning, 2022

2021

SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics.

João Damião Almeida, Paul Schydlo, Atabak Dehban, José Santos-Victor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Automatic Generation of Object Shapes With Desired Affordances Using Voxelgrid Representation.

Mihai Andries, Atabak Dehban, José Santos-Victor

Frontiers Neurorobotics, 2020

Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study.

Manuel Serra Nunes, Atabak Dehban, Plinio Moreno, José Santos-Victor

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

A robust and efficient framework for fast cylinder detection.

Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor, Helder Araújo

Robotics Auton. Syst., 2019

The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures^*.

Atabak Dehban, João Borrego, Rui Figueiredo, Plinio Moreno, Alexandre Bernardino, José Santos-Victor

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Robotic Interactive Physics Parameters Estimator (RIPPE).

Atabak Dehban, Carlos Cardoso, Pedro Vicente, Alexandre Bernardino, José Santos-Victor

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

2018

Applying Domain Randomization to Synthetic Data for Object Category Detection.

João Borrego, Atabak Dehban, Rui Figueiredo, Plinio Moreno, Alexandre Bernardino, José Santos-Victor

CoRR, 2018

Automatic generation of object shapes with desired functionalities.

Mihai Andries, Atabak Dehban, José Santos-Victor

CoRR, 2018

A generic visual perception domain randomisation framework for Gazebo.

João Borrego, Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor

Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018

2017

Efficient Resource Allocation for Sparse Multiple Object Tracking.

Rui Figueiredo, João Avelino, Atabak Dehban, Alexandre Bernardino, Pedro U. Lima, Helder Araújo

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Learning at the ends: From hand to tool affordances in humanoid robots.

Giovanni Saponaro, Pedro Vicente, Atabak Dehban, Lorenzo Jamone, Alexandre Bernardino, José Santos-Victor

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Shape-based attention for identification and localization of cylindrical objects.

Rui Figueiredo, Atabak Dehban, Alexandre Bernardino, José Santos-Victor, Helder Araújo

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

A deep probabilistic framework for heterogeneous self-supervised learning of affordances.

Atabak Dehban, Lorenzo Jamone, Adam R. Kampff, José Santos-Victor

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016

A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm.

Danial Yazdani, Alireza Sepas-Moghaddam, Atabak Dehban, Nuno Horta

Int. J. Comput. Intell. Appl., 2016

Denoising auto-encoders for learning of objects and tools affordances in continuous space.

Atabak Dehban, Lorenzo Jamone, Adam R. Kampff, José Santos-Victor

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016