Search Results for author:
Found 4 papers, 1 papers with code
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.
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction
This work investigates how a naive agent can acquire its own body image in a self-supervised way, based on the predictability of its sensorimotor experience.
Active exploration of sensor networks from a robotics perspective
Starting with the most basic task for mobile wireless network nodes, finding the position of another node, we introduce an algorithm able to solve this task.
Gradient-based Taxis Algorithms for Network Robotics
Finding the physical location of a specific network node is a prototypical task for navigation inside a wireless network.
