2 citations · 6 across the 5 of their papers we have counts for
5 papers
Free Energy Principle for the Noise Smoothness Estimation of Linear Systems with Colored Noise
Ajith Anil Meera, Martijn Wisse
The free energy principle (FEP) from neuroscience provides a framework called active inference for the joint estimation and control of state space systems, subjected to colored noi…
Reclaiming saliency: rhythmic precision-modulated action and perception
Ajith Anil Meera, Filip Novicky, Thomas Parr +3
Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual informatio…
Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind
Fred Bos, Ajith Anil Meera, Dennis Benders +1
The free energy principle from neuroscience provides a brain-inspired perception scheme through a data-driven model learning algorithm called Dynamic Expectation Maximization (DEM)…
A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind
Ajith Anil Meera, Martijn Wisse
The quest for a brain-inspired learning algorithm for robots has culminated in the free energy principle from neuroscience that models the brain's perception and action as an optim…
Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search
Ajith Anil Meera, Marija Popovic, Alexander Millane +1
Target search with unmanned aerial vehicles (UAVs) is relevant problem to many scenarios, e.g., search and rescue (SaR). However, a key challenge is planning paths for maximal sear…