48 citations · 48 across the 3 of their papers we have counts for
3 papers
Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
Alberto Miño Calero, Luis Salamanca, Konstantinos E. Tatsis
Physics-Informed Neural Networks (PINNs) incorporate physics into neural networks by embedding partial differential equations (PDEs) into their loss function. Despite their success…
Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
Jingwen Wang, Johannes Kirschner, Paul Rolland +2
This paper presents a novel autonomous robotic assembly framework for constructing stable structures without relying on predefined architectural blueprints. Instead of following fi…
Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds
Florian Bernard, Luis Salamanca, Johan Thunberg +7
The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measur…