Christos IEEE SMC publication

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Posted on 06 February 2016

Christos Melidis was published IEEE SMC

Christos Melidis' and Davide Marocco's article "A Human Centric Approach to Robotic Control" has just been published at the conference proceeding of SMC 2015. He presented a novel idea for the creation of an intelligent interface that allows the remote control of arbitrarily complex robotics morphologies by translating intuitive human behaviours into purposeful robotic actions at the "IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015)" in October 2015 in Hong Kong.

Christos Melidis is a PhD candidate at the CogNovo programme at Plymouth University, working on a project entitled "A Framework for Intuitive Remote Robotic Control. His work has previously been published at the "Communications in Computer and Information Science" and he has been invited to Japan to give lectures on "Self Organisation of Robot Behaviours" and enganged with the public during the British Science Week.

Please follow the link to his article if the following abstract sounds interesting to you:

In this paper we present a novel idea for the creation of an intelligent interface that allows the remote control of arbitrarily complex robotics morphologies by translating intuitive human behaviours into purposeful robotic actions. By taking inspiration from human robot interaction, ergonomic principles, and autonomous robotics this paper proposes a human-centric framework for robot control inspired by the current advancements in recurrent neural networks and self-organisation. In particular, we present an integrated approach based on neural networks for input acquisition from human operator and self organisation for the acquisition of robot behaviours. We realise the interface as a kind of intelligent agent connecting the two end points of the system: Human and robot, providing an adaptive and intelligent interface for robot control. The present preliminary study shows the on-going results of the proposed methodology for both self-exploration of robotic morphologies and acquisition of human behaviours.