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Bilinear Time Delay Neural Network System for Humanoid Robot Software

Fumio Nagashima

Year
2007
Citations
4
Access
Open access

Abstract

In this chapter, I describe the neural network suitable for building the total humanoid robot software system and show some applications. This method is characterized by • uniform implementation for wide variety of applications • simplicity for dynamically structure modification The software system becomes flexible by these characteristics. Now, I’m working on the general learning technique for this neural network. There is a possibility free from NFL problem (Wolper, 1997). This chapter is originally written for the RSJ paper in Japanese (Nagashima, 2006).

Keywords

Computer scienceHumanoid robotArtificial neural networkSoftwareBilinear interpolationReal-time computingRobotArtificial intelligenceComputer visionOperating system

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