Abstract
In this paper, an overview of human-machine interactive communication for controlling lifting devices is presented, covering also the integration with vision and sensorial systems. Following a general concept, and motivation towards intelligent human-machine communication through artificial neural networks, selected methods are proposed, which provide further directions both of recent as well as of future research on human-machine interaction. The aim of the experimental research is to design a prototype of an innovative interaction system, equipped with a speech interface in a natural language, augmented reality and interactive manipulators with force feedback.
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Acknowledgements
This project is financed by the National Centre for Research and Development, Poland (NCBiR), under the Applied Research Programme - Grant agreement No. PBS3/A6/28/2015.
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Majewski, M., Kacalak, W. (2016). Human-Machine Speech-Based Interfaces with Augmented Reality and Interactive Systems for Controlling Mobile Cranes. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2016. Lecture Notes in Computer Science(), vol 9812. Springer, Cham. https://doi.org/10.1007/978-3-319-43955-6_12
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