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Found 6 papers, 2 papers with code
An adaptive architecture for portability of greenhouse models
We present an adaptive model architecture to perform online learning on greenhouse models.
Other Computer Science
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces
This work presents an architecture that generates curiosity-driven goal-directed exploration behaviours for an image sensor of a microfarming robot.
The iCub multisensor datasets for robot and computer vision applications
This document presents novel datasets, constructed by employing the iCub robot equipped with an additional depth sensor and color camera.
Prediction error-driven memory consolidation for continual learning. On the case of adaptive greenhouse models
This work presents an adaptive architecture that performs online learning and faces catastrophic forgetting issues by means of episodic memories and prediction-error driven memory consolidation.
Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics
Here, we suggest that the tracking of prediction error dynamics allows an artificial agent to be intrinsically motivated to seek new experiences but constrained to those that generate reducible prediction error. We present an intrinsic motivation architecture that generates behaviors towards self-generated and dynamic goals and that regulates goal selection and the balance between exploitation and exploration through multi-level monitoring of prediction error dynamics.
A Multisensory Learning Architecture for Rotation-invariant Object Recognition
This study presents a multisensory machine learning architecture for object recognition by employing a novel dataset that was constructed with the iCub robot, which is equipped with three cameras and a depth sensor.
