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Jul 1, 2015 · We address the problem of learning correlations between object properties and human needs by associating visual with verbal information.
This paper addresses the problem of learning correlations between object properties and human needs by associating visual with verbal information by ...
The goal is to continually enrich the robot's knowledge regarding objects that are important to the user, through verbal interaction. We address the problem of ...
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M Papakostas, et al., "An interactive framework for learning user-object associations through human-robot interaction", PETRA 2015. N. Parde, et al., "I Spy ...
Oct 15, 2024 · We present a novel framework for adaptive Human-Robot Interaction (HRI) that tailors interactions to different user groups and enables individual users to ...
This paper presents an adaptive optimal control framework for human-robot-human physical interaction. N-player linear quadratic differential game theory is ...
Through our analysis of human attachment with pets, symbols, objects, technolo- gies, and robots, we more deeply specify how each of the criteria may be met on ...
Oct 18, 2024 · This framework supports natural interactions through advanced speech recognition and voice activity detection, and leverages a large language ...
The basic idea is to use the human feedback to improve the learning behavior of the robot when it deals with human beings.We show two different prototypes that ...
An interactive framework for learning user-object associations through human-robot interaction. In Proceedings of the 8th ACM International Conference on ...