1 citations · 3 across the 3 of their papers we have counts for
4 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…
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…
RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization
Wouter Wolfslag, Mukunda Bharatheesha, Thomas Moerland +1
Sampling-based kinodynamic planners, such as Rapidly-exploring Random Trees (RRTs), pose two fundamental challenges: computing a reliable (pseudo-)metric for the distance between t…