Abstract
The field of assistive robotics is gaining traction in both research as well as industry communities. However, capabilities of existing robotic platforms still require improvements in order to implement meaningful human-robot interactions. We report on the design and implementation of an external system that significantly augments the person detection, tracking and identification capabilities of the Pepper robot. We perform a qualitative analysis of the improvements achieved by each system module under different interaction conditions and evaluate the whole system on hand of a scenario for elderly care assistance.
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Acknowledgement
This research was supported by AAL grant of the Romanian National Authority for Scientific Research and Innovation, CCCDI - UEFISCDI, CAMI - “The Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL”, project number AAL-2014-1-087 and SPARC national project grant PN-III-P2-2.1-BG-2016-0425.
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Ghiţă, Ş.A., Barbu, MŞ., Gavril, A., Trăscău, M., Sorici, A., Florea, A.M. (2018). User Detection, Tracking and Recognition in Robot Assistive Care Scenarios. In: Giuliani, M., Assaf, T., Giannaccini, M. (eds) Towards Autonomous Robotic Systems. TAROS 2018. Lecture Notes in Computer Science(), vol 10965. Springer, Cham. https://doi.org/10.1007/978-3-319-96728-8_23
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DOI: https://doi.org/10.1007/978-3-319-96728-8_23
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