Integration of Industrially-Oriented Human-Robot Speech Communication and Vision-Based Object Recognition.

ABSTRACT: This paper presents a novel method for integration of industrially-oriented human-robot speech communication and vision-based object recognition. Such integration is necessary to provide context for task-oriented voice commands. Context-based speech communication is easier, the commands are shorter, hence their recognition rate is higher. In recent years, significant research was devoted to integration of speech and gesture recognition. However, little attention was paid to vision-based identification of objects in industrial environment (like workpieces or tools) represented by general terms used in voice commands. There are no reports on any methods facilitating the abovementioned integration. Image and speech recognition systems usually operate on different data structures, describing r

SUBMITTER: Rogowski A 

PROVIDER: S-EPMC7767307 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature