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Found 4 papers, 2 papers with code
Adaptation through prediction: multisensory active inference torque control
Adaptation to external and internal changes is major for robotic systems in uncertain environments.
Active Inference in Robotics and Artificial Agents: Survey and Challenges
Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning.
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference
This work presents a fault-tolerant control scheme for sensory faults in robotic manipulators based on active inference.
Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
We propose a hybrid combination of active inference and behavior trees (BTs) for reactive action planning and execution in dynamic environments, showing how robotic tasks can be formulated as a free-energy minimization problem.
