Denoising auto-encoders for learning of objects and tools affordances in continuous space. - Atabak Dehban; Lorenzo Jamone; Adam R. Kampff; José Santos-Victor (ICRA, 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)

A deep probabilistic framework for heterogeneous self-supervised learning of affordances. - Atabak Dehban; Lorenzo Jamone; Adam R. Kampff; José Santos-Victor (Humanoids, 2017)

Shape-based attention for identification and localization of cylindrical objects. - Rui Figueiredo 001; Atabak Dehban; Alexandre Bernardino; José Santos-Victor; Helder Araújo (ICDL-EPIROB, 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 (ICDL-EPIROB, 2017)

Efficient Resource Allocation for Sparse Multiple Object Tracking. - Rui Figueiredo 001; João Avelino; Atabak Dehban; Alexandre Bernardino; Pedro U. Lima; Helder Araújo (VISIGRAPP (6: VISAPP), 2017)

A generic visual perception domain randomisation framework for Gazebo. - João Borrego; Rui Figueiredo 001; Atabak Dehban; Plinio Moreno; Alexandre Bernardino; José Santos-Victor (ICARSC, 2018)

Automatic generation of object shapes with desired functionalities. - Mihai Andries; Atabak Dehban; José Santos-Victor (CoRR, 2018)

Applying Domain Randomization to Synthetic Data for Object Category Detection. - João Borrego; Atabak Dehban; Rui Figueiredo 001; Plinio Moreno; Alexandre Bernardino; José Santos-Victor (CoRR, 2018)

Robotic Interactive Physics Parameters Estimator (RIPPE). - Atabak Dehban; Carlos Cardoso; Pedro Vicente; Alexandre Bernardino; José Santos-Victor (ICDL-EPIROB, 2019)

The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures*. - Atabak Dehban; João Borrego; Rui Figueiredo 001; Plinio Moreno; Alexandre Bernardino; José Santos-Victor (IROS, 2019)

A robust and efficient framework for fast cylinder detection. - Rui Figueiredo 001; Atabak Dehban; Plinio Moreno; Alexandre Bernardino; José Santos-Victor; Helder Araújo (Robotics Auton. Syst., 2019)

Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study. - Manuel Serra Nunes; Atabak Dehban; Plinio Moreno; José Santos-Victor (ICRA, 2020)

Automatic Generation of Object Shapes With Desired Affordances Using Voxelgrid Representation. - Mihai Andries; Atabak Dehban; José Santos-Victor (Frontiers Neurorobotics, 2020)

SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics. - João Damião Almeida; Paul Schydlo; Atabak Dehban; José Santos-Victor (IROS, 2021)

Benchmarking shape completion methods for robotic grasping. - João Balão; Atabak Dehban; Plinio Moreno; José Santos-Victor (ICDL, 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 (ICDL, 2022)

Robotic Learning the Sequence of Packing Irregular Objects from Human Demonstrations. - André Santos; Atabak Dehban; José Santos-Victor (CoRR, 2022)

3DSGrasp: 3D Shape-Completion for Robotic Grasp. - Seyed Saber Mohammadi; Nuno Ferreira Duarte; Dimitrios Dimou; Yiming Wang 002; Matteo Taiana; Pietro Morerio; Atabak Dehban; Plinio Moreno; Alexandre Bernardino; Alessio Del Bue; José Santos-Victor (ICRA, 2023)

3DSGrasp: 3D Shape-Completion for Robotic Grasp. - Seyed Saber Mohammadi; Nuno Ferreira Duarte; Dimitris Dimou; Yiming Wang 002; Matteo Taiana; Pietro Morerio; Atabak Dehban; Plinio Moreno; Alexandre Bernardino; Alessio Del Bue; José Santos-Victor (CoRR, 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., 2023)

Learning the Sequence of Packing Irregular Objects from Human Demonstrations: Towards Autonomous Packing Robots. - André Santos; Nuno Ferreira Duarte; Atabak Dehban; José Santos-Victor (BioRob, 2024)

Ego-Foresight: Agent Visuomotor Prediction as Regularization for RL. - Manuel S. Nunes; Atabak Dehban; Yiannis Demiris; José Santos-Victor (CoRR, 2024)

AI-Powered Augmented Reality for Satellite Assembly, Integration and Test. - Alvaro Patricio; João Valente; Atabak Dehban; Ines Cadilha; Daniel Reis; Rodrigo Ventura 001 (AIxVR, 2025)

HERB: Human-augmented Efficient Reinforcement learning for Bin-packing. - Gojko Perovic; Nuno Ferreira Duarte; Atabak Dehban; Gonçalo Teixeira; Egidio Falotico; José Santos-Victor (CoRR, 2025)