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AIDIMME / Dissemination of projects / Details


"FEDER NATURBOT"

NATURBOT - RESEARCH IN NATURAL LANGUAGE CONVERSION SYSTEMS FOR THE PROGRAMMING OF ROBOTS IN COLLABORATIVE TASKS




DESCRIPTION

In a project already developed by AIDIMME (INTERBOT), the development of an interface for programming robots through verbal commands was proposed. During the development of the project, the problems of carrying out a complete robot program using only voice were revealed, but this programming system is very unusual in industrial robots.

Therefore, it is intended to address the problem with a different and more practical vision.

OBJECTIVES

The general objective of the project is to investigate complex systems that allow the interaction of a person with a collaborative robotic arm in real time, so that a collaborative human-robot environment can be configured in which instructions to the robot can be given through the use of natural language.

Project Number: 22300046
Grant Agreement: IMDEEA / 2023/13
Duration: From 01/07/2023 to 30/06/2024

Coordinated in AIDIMME by: SÁNCHEZ ASINS, JOSÉ LUIS
R&D Line: INDUSTRY 4.0

TARGET AUDIENCE AND IMPACT MEASUREMENT

945 Access to the project website
710 Access to news published on own websites.

Total Accesses: 1655


Objective Sectors by CNAE

CNAE: 7112 - Technical engineering services and others - Number of target companies: 432 (207 from the Valencian Community)

CNAE: 4652 - Wholesale of electronic equipment - Number of target companies: 116 (53 from the Valencian Community)


Objective Sectors by Activity

MANUFACTURERS - Number of target companies: 108 (39 of the Valencian Community)

TRACTOR COMPANIES

Thanks to its support and signature of the "declaration of participation" the project has been funded.


HURTADO RIVAS, SL

DYMSA ENGINEERING, SL

CFZ COBOTS, SL

COMPANIES DIFFUSION R&D PROJECTS

They want to know first-hand the evolution of the project, and its progress to the final result.

COMPANIES TRANSFER KNOWLEDGE

They will implement technologies, develop strategies or look for new models based on the results.