Abstract
This paper focuses on the development of a novel Human Machine Interaction strategy based on Augmented Reality for the semi-autonomous navigation of a power wheelchair. The final goal is the development of a shared control, combining direct control by the user with the comfort of an autonomous navigation based on augmented reality markers. A first evaluation has been performed on the real test bed.
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CITATION STYLE
Maule, L., Fornaser, A., Tomasin, P., Tavernini, M., Minotto, G., Da Lio, M., & De Cecco, M. (2017). Augmented robotics for electronic wheelchair to enhance mobility in domestic environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10325 LNCS, pp. 22–32). Springer Verlag. https://doi.org/10.1007/978-3-319-60928-7_2
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