In the past I've contributed in various research and demo projects in both academic and industrial settings.
Application of various Bayesian and Active inference techniques to robot control in a home setting.
Arxiv →A fully online learnable approach to Gaussian splatting.
Arxiv →Investigation into how two Active Inference pomdp agents would share beliefs over the world states.
IWAI 2024 →Application of a custom made Bayesian SLAM system on a drone.
Drone SE and RAPIDO 2022 →Using deep representation learning together with a brain SLAM approach.
IEEE →PhD project bridging the gap between deep learning, robotics and Bayesian planning.
Elsevier Neural Networks →