9 citations · 9 across the 1 of their papers we have counts for
4 papers · 1 filter
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar +3
Autonomous navigation is a key skill for assistive and service robots. To be successful, robots have to minimise the disruption caused to humans while moving. This implies predicti…
Multi-camera Torso Pose Estimation using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Pablo Bustos +2
Estimating the location and orientation of humans is an essential skill for service and assistive robots. To achieve a reliable estimation in a wide area such as an apartment, mult…
Graph Neural Networks for Human-aware Social Navigation
Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria +2
Autonomous navigation is a key skill for assistive and service robots. To be successful, robots have to navigate avoiding going through the personal spaces of the people surroundin…
Improving the lifecycle of robotics components using Domain-Specific Languages
A. Romero-Garces, L. J. Manso, Marco A. Gutierez +2
There is currently a large amount of robotics software using the component-oriented programming paradigm. However, the rapid growth in number and complexity of components may compr…