Embodied language acquisition: A proof of concept

Aneesh Chauhan*, Amanda Nascimento, Bruno Werneck, Luís Seabra Lopes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review


For robots to interact with humans at the language level, it becomes fundamental that robots and humans share a common language. In this paper, a social language grounding paradigm is adopted to teach a robotic arm basic vocabulary about objects in its environment. A human user, acting as an instructor, teaches the names of the objects present in their shared field of view. The robotic agent grounds these words by associating them to visual category descriptions. A component-based object representation is presented. An instance based approach is used for category representation. An instance is described by its components and geometric relations between them. Each component is a color blob or an aggregation of neighboring color blobs. The categorization strategy is based on graph matching. The learning/grounding capacity of the robot is assessed over a series of semi-automated experiments and the results are reported.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence - 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Proceedings
Number of pages12
ISBN (Electronic)9783642046865
Publication statusPublished - 16 Nov 2009
Externally publishedYes
Event14th Portuguese Conference on Artificial Intelligence, EPIA 2009 - Aveiro, Portugal
Duration: 12 Oct 200915 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5816 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th Portuguese Conference on Artificial Intelligence, EPIA 2009


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