Dimitrios Dimou — accepted AI-conference papers

2023

3DSGrasp: 3D Shape-Completion for Robotic Grasp

Seyed S. Mohammadi, Nuno F. Duarte, Dimitrios Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio +5

ICRA 2023poster

Real-world robotic grasping can be done robustly if a complete 3D Point Cloud Data (PCD) of an object is available. However, in practice, PCDs are often incomplete when objects are viewed from few and sparse viewpoints before the grasping action, leading to the generation of wrong or inaccurate gras…

Cited by 26 Source ↗code ↗Scholar ↗

2021

Learning Conditional Postural Synergies for Dexterous Hands: A Generative Approach Based on Variational Auto-Encoders and Conditioned on Object Size and Category

Dimitrios Dimou, José Santos-Victor, Plinio Moreno

ICRA 2021poster

Postural synergies are used in robotics to facilitate the control of dexterous artificial hands. This is achieved by learning a latent space (synergy space) from grasp postures and directly controlling the hand in this space. In this work, we propose the use of a non-linear conditional model for lea…

Cited by 8 Source ↗Scholar ↗