Hospital Assistant Robotic Vehicle (HARVi)

Krishnan, Yadu; Udayan, Vaisakh; S, Akhil

doi:10.1109/indicon52576.2021.9691738

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2023

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“…Robotic technology has been included in these environments with different fronts such as people care [17], cleaning [18] and even cooking [19]. In [20] and [21], the development of assistive robots to address patient isolations by COVID is exposed, however, the development is oriented to systems telecommanded by cellular mobile equipment.…”

Section: Introductionmentioning

confidence: 99%

Deep learning speech recognition for residential assistant robot

Moreno

Estepa

2023

IJ-AI

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This work presents the design and validation of a voice assistant to command robotic tasks in a residential environment, as a support for people who require isolation or support due to body motor problems. The preprocessing of a database of 3600 audios of 8 different categories of words like “paper”, “glass” or “robot”, that allow to conform commands such as "carry paper" or "bring medicine", obtaining a matrix array of Mel frequencies and its derivatives, as inputs to a convolutional neural network that presents an accuracy of 96.9% in the discrimination of the categories. The command recognition tests involve recognizing groups of three words starting with "robot", for example, "robot bring glass", and allow identifying 8 different actions per voice command, with an accuracy of 88.75%.

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