Name
Title | ||
|---|---|---|
Visual Target Sequence Prediction via Hierarchical Temporal Memory Implemented on the iCub Robot. |
Abstract | ||
|---|---|---|
In this article, we present our initial work on sequence prediction of a visual target by implementing a cortically inspired method, namely Hierarchical Temporal Memory (HTM). As a preliminary test, we employ HTM on periodic functions to quantify prediction performance with respect to prediction steps. We then perform simulation experiments on the iCub humanoid robot simulated in the Neurorobotics Platform. We use the robot as embodied agent which enables HTM to receive sequences of visual target position from its camera in order to predict target positions in different trajectories such as horizontal, vertical and sinusoidal. The obtained results indicate that HTM based method can be customized for robotics applications that require adaptation of spatiotemporal changes in the environment and acting accordingly. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-42417-0_12 | BIOMIMETIC AND BIOHYBRID SYSTEMS, LIVING MACHINES 2016 |
Keywords | Field | DocType |
Hierarchical Temporal Memory,Sequence prediction,Neurorobotics Platform | Neurorobotics,Computer vision,Periodic function,iCub,Hierarchical temporal memory,Embodied agent,Computer science,Artificial intelligence,Robot,Robotics,Humanoid robot | Conference |
Volume | ISSN | Citations |
9793 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 15 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Murat Kırtay | 1 | 26 | 2.90 |
| Egidio Falotico | 2 | 85 | 18.05 |
| Alessandro Ambrosano | 3 | 1 | 0.38 |
| Ugo Albanese | 4 | 1 | 0.38 |
| Lorenzo Vannucci | 5 | 28 | 6.00 |
| Cecilia Laschi | 6 | 681 | 99.92 |