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Accelerating Humanoid Robot Learning from Human Action Skills Using Context-Aware Middleware

  • Charles C. PhiriEmail author
  • Zhaojie JuEmail author
  • Honghai Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9834)

Abstract

In this paper we propose the creation of context-aware middleware to solve the challenge of integrating disparate incompatible systems involved in the teaching of human action skills to robots. Context-aware middleware provides the solution to retrofitting capabilities onto existing robots (agents) and bridges the technology differences between systems. The experimental results demonstrate a framework for handling situational and contextual data for robot Learning from Demonstration.

Keywords

Context-aware middleware JSON-LD SLAM 

Notes

Acknowledgments

The authors would like to acknowledge support from DREAM project of EU FP7-ICT (grant no. 611391), Research Project of State Key Laboratory of Mechanical System and Vibration China (grant no. MSV201508), and National Natural Science Foundation of China (grant no. 51575412).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of ComputingUniversity of PortsmouthPortsmouthUK

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