LNCS 2810 A Semi supervised Method for Learning the Structure of Robot Environment Interactions 1st Edition by Axel Grobmann, Matthias Wendt, Jeremy Wyatt  ISBN 3540452311 9783540452317

LNCS 2810 – A Semi-supervised Method for Learning the Structure of Robot Environment Interactions 1st Edition by Axel Grobmann, Matthias Wendt, Jeremy Wyatt  – Ebook PDF Instant Download/Delivery. 3540452311, 9783540452317

Full download LNCS 2810 – A Semi-supervised Method for Learning the Structure of Robot Environment Interactions 1st Edition after payment

 

 

Product details:

ISBN 10: 3540452311

ISBN 13: 9783540452317

Author:  Axel Grobmann, Matthias Wendt, Jeremy Wyatt  

LNCS 2810 – A Semi-supervised Method for Learning the Structure of Robot Environment Interactions 1st Edition: For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that produces clusters of robot experiences based on the dynamics of the interaction, rather than on static features. We present a semi-supervised extension of their technique that uses information about the controller and the task of the robot to (i) segment the stream of experiences, (ii) optimise the final number of clusters and (iii) automatically select the individual sensors to feed to the clustering process. The technique is evaluated on a Pioneer 2 robot navigating obstacles and passing through doors in an office environment. We show that the technique is able to classify high dimensional robot time series several times the length previously handled with an accuracy of 91%.

 

LNCS 2810 – A Semi-supervised Method for Learning the Structure of Robot Environment Interactions 1st Edition Table of contents:

1 Introduction

2 Related Work

3 Goal Inference and Program Induction

3.1 Sequential Importance Sampling with Attribution Prior

4 Program Synthesis and Autonomous Control

4.1 Learning from Demonstration Comparison

5 Explanations from Demonstration

5.1 Causal Analysis

5.2 Counterfactuals Explanation

6 Conclusion

 

People also search for LNCS 2810 – A Semi-supervised Method for Learning the Structure of Robot Environment Interactions 1st Edition:

learning resource robot
    
compare the human structure to the structure of a robot
    
learning about robots
    
a lego robot
    
a robot with an organic mode
    
a robot that can sense changes in the environment is