56 citations · 67 across the 7 of their papers we have counts for
5 papers · 1 filter
Unbiased Active Inference for Classical Control
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari +1
Active inference is a mathematical framework that originated in computational neuroscience. Recently, it has been demonstrated as a promising approach for constructing goal-driven…
Active Inference in Robotics and Artificial Agents: Survey and Challenges
Pablo Lanillos, Cristian Meo, Corrado Pezzato +8
Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning. Recently, it ha…
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference
Mohamed Baioumy, Corrado Pezzato, Carlos Hernandez Corbato +2
This work presents a fault-tolerant control scheme for sensory faults in robotic manipulators based on active inference. In the majority of existing schemes, a binary decision of w…
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari +2
This work presents a novel fault-tolerant control scheme based on active inference. Specifically, a new formulation of active inference which, unlike previous solutions, provides u…
Active Inference for Integrated State-Estimation, Control, and Learning
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda +1
This work presents an approach for control, state-estimation and learning model (hyper)parameters for robotic manipulators. It is based on the active inference framework, prominent…