In the context of collaborative robotics, robots share the working space with humans and communication between the two parties is of utmost importance. While different modalities can be employed, speech represents a natural way of interaction for people. In this paper, we introduce a speech-based pipeline for collaborative robotics, specifically designed to operate in the context of precision agriculture. The system exploits frame semantics as a modality-independent way of representing information, which allows for easier management of the dialogue between the robot and the human. One of the key features of this pipeline is the utilization of various techniques from Natural Language Processing (NLP) to extract and manage frames.
Empowering Collaboration: A Pipeline for Human-Robot Spoken Interaction in Collaborative Scenarios / Kaszuba, Sara; Caposiena, Julien; Sabbella, SANDEEP REDDY; Leotta, Francesco; Nardi, Daniele. - (2023), pp. 95-107. (Intervento presentato al convegno 15th International Conference on Social Robotics, ICSR 2023 tenutosi a Doha; Qatar) [10.1007/978-981-99-8718-4_9].
Empowering Collaboration: A Pipeline for Human-Robot Spoken Interaction in Collaborative Scenarios
Sara Kaszuba
Primo
;Sandeep Reddy SabbellaSecondo
;Francesco LeottaPenultimo
;Daniele NardiUltimo
2023
Abstract
In the context of collaborative robotics, robots share the working space with humans and communication between the two parties is of utmost importance. While different modalities can be employed, speech represents a natural way of interaction for people. In this paper, we introduce a speech-based pipeline for collaborative robotics, specifically designed to operate in the context of precision agriculture. The system exploits frame semantics as a modality-independent way of representing information, which allows for easier management of the dialogue between the robot and the human. One of the key features of this pipeline is the utilization of various techniques from Natural Language Processing (NLP) to extract and manage frames.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.