Methodology for learning multimodal instructions in the context of human-robot interaction using machine learning
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2018-02-17
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Abstract
This work shows the design, implementation and evaluation
of a human-robot interaction system where a robot is capable of learning
multimodal instructions through gestures and voice issued by a human
user. The learning procedure can be performed in two ways: an instruction
learning phase, where the human aims at teaching one instruction to
the robot by performing several repetitions and an instruction receiving
phase where the robot reacts to the instructions given by the human and
possibly asks for feedback from the user to strengthen the instruction’s
model.
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Rodríguez, S., Quintero, C. A., Pérez, A. K., Rojas, E., Peña, O., & De La Rosa, F. (2018). Methodology for learning multimodal instructions in the context of human-robot interaction using machine learning. Bogotá: doi:10.1007/978-3-319-76261-6_4
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