1 citations · 1 across the 4 of their papers we have counts for
4 papers
Task-oriented grasping for dexterous robots using postural synergies and reinforcement learning
Dimitrios Dimou, José Santos-Victor, Plinio Moreno
In this paper, we address the problem of task-oriented grasping for humanoid robots, emphasizing the need to align with human social norms and task-specific objectives. Existing me…
GRASPLAT: Enabling dexterous grasping through novel view synthesis
Matteo Bortolon, Nuno Ferreira Duarte, Plinio Moreno +3
Achieving dexterous robotic grasping with multi-fingered hands remains a significant challenge. While existing methods rely on complete 3D scans to predict grasp poses, these appro…
Estimating Object Physical Properties from RGB-D Vision and Depth Robot Sensors Using Deep Learning
Ricardo Cardoso, Plinio Moreno
Inertial mass plays a crucial role in robotic applications such as object grasping, manipulation, and simulation, providing a strong prior for planning and control. Accurately esti…
Socially reactive navigation models for mobile robots in dynamic environments
Ricarte Ribeiro, Plinio Moreno
The objective of this work is to expand upon previous works, considering socially acceptable behaviours within robot navigation and interaction, and allow a robot to closely approa…