Name
Abstract | ||
|---|---|---|
Bio-Inspired and Neuro-Inspired systems or circuits are a relatively novel approaches to solve real problems by mimicking the biology in its efficient solutions. Robotic also tries to mimic the biology and more particularly the human body structure and efficiency of the muscles, bones, articulations, etc. Address-Event-Representation (AER) is a communication protocol for transferring asynchronous events between VLSI chips, originally developed for neuro-inspired processing systems (for example, image processing). Such systems may consist of a complicated hierarchical structure with many chips that transmit data among them in real time, while performing some processing (for example, convolutions). The information transmitted is a sequence of spikes coded using high speed digital buses. These multi-layer and multi-chip AER systems perform actually not only image processing, but also audio processing, filtering, learning, locomotion, etc. This paper present an AER interface for controlling an anthropomorphic robotic hand with a neuro-inspired system. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73055-2_50 | IWINAC (2) |
Keywords | Field | DocType |
neuro-inspired system,neuro-inspired processing system,complicated hierarchical structure,aer-based actuator interface,image processing,anthropomorphic robotic hand,real problem,aer interface,real time,human body structure,audio processing,multi-chip aer system,communication protocol,human body,system performance,chip | Asynchronous communication,Computer science,Convolution,Image processing,Filter (signal processing),Real-time computing,Artificial intelligence,Audio signal processing,Very-large-scale integration,Machine learning,Communications protocol,Actuator | Conference |
Volume | ISSN | Citations |
4528 | 0302-9743 | 2 |
PageRank | References | Authors |
0.42 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Linares-Barranco | 1 | 67 | 6.58 |
| A. Jiménez-Fernandez | 2 | 26 | 3.87 |
| R. Paz-vicente | 3 | 56 | 6.43 |
| S. Varona | 4 | 2 | 0.42 |
| G. Jiménez | 5 | 2 | 0.42 |