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How to Convert list to dictionary in Robot Framework? 

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Proceedings ArticleDOI
B. G. Vijay Kumar, Ioannis Patras 
22 Apr 2013
15 Citations
We propose a framework that enables the incorporation of the localization information into the dictionary learning.
Hence, in this paper, we propose a weighted constraint based dictionary learning algorithm to improve the classification performance of dictionary learning.
We propose two dynamic dictionary-based estimation algorithms in which the dictionary elements are dynamically adjusted to improve parameter estimation performance.
This framework makes it possible for the robot to learn object concepts naturally in everyday operation in conjunction with a small amount of linguistic information from human users.
The proposed framework makes it possible for the robot to learn object concepts naturally in everyday operation in conjunction with a small amount of linguistic information from human users.
In this paper we show that existing dictionary learning algorithms can be extended to exploit this structure, thereby providing a more accurate estimate of the dictionary.
The approach can be generalised to the rest of the dictionary by improving the parser.

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