2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL) 2013
DOI: 10.1109/devlrn.2013.6652534 View full text |Buy / Rent full text
|
|

Abstract: This paper discusses grounded acquisition experiments of increasing complexity. Humanoid robots acquire English spatial lexicons from robot tutors. We identify how various spatial language systems, such as projective, absolute and proximal can be learned. The proposed learning mechanisms do not rely on direct meaning transfer or direct access to world models of interlocutors. Finally, we show how multiple systems can be acquired at the same time.

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance
Select...
3
1
1
1
17
0

Year Published

2014
2014
2017
2017

Publication Types

Select...
3

Relationship

3
0

Authors

Journals

1
17
0
Order By: Relevance
“…KNN is the only tested algorithm for continuous meaning cross-situational learning [19]. Centroid algorithms are the goto method for interactive learning [14], [15], [20].…”
Section: Learning Algorithmsmentioning
See 2 more Smart Citations
Create an account to read the remaining citation statements from this report. You will also get access to:
  • Search over 1b+ citation statments to see what is being said about any topic in the research literature
  • Advanced Search to find publications that support or contrast your research
  • Citation reports and visualizations to easily see what publications are saying about each other
  • Browser extension to see Smart Citations wherever you read research
  • Dashboards to evaluate and keep track of groups of publications
  • Alerts to stay on top of citations as they happen
  • Automated reference checks to make sure you are citing reliable research in your manuscripts
  • 14 day free preview of our premium features.

Trusted by researchers and organizations around the world

Over 100,000 students researchers, and industry experts at use scite

See what students are saying

rupbmjkragerfmgwileyiopcupepmcmbcthiemesagefrontiersapsiucrarxivemeralduhksmucshluniversity-of-gavle
“…KNN is the only tested algorithm for continuous meaning cross-situational learning [19]. Centroid algorithms are the goto method for interactive learning [14], [15], [20].…”
Section: Learning Algorithmsmentioning
“…In interactive learning researchers often propose to use prototypes for the learner's lexicon [14], [15], [20] and to update these prototypes iteratively as new samples of word object mappings are collected by the learner. a) Representation: The learner stores prototypes p ∈ R 3 .…”
Section: B Prototype Estimation (Pe)mentioning
See 1 more Smart Citation
“…Consequently, referential uncertainty can occur in single object contexts This is different from WOM, where referential uncertainty is exclusively related to the number of objects in the context. c) Continuous Meaning Space Models (CMS): Few models address the learning of words related to representations in continuous vector spaces [7], [8]. The problem of referential uncertainty in continuous meaning spaces is large and depends chiefly on the number of objects in a learning context, the number of dimensions of meaning vectors and whether or not objects can refer to subspaces of the meaning space (color space etc).…”
Section: Introductionmentioning
“…Our group has done various experiments concerning the acquisition of words and concepts [7], [8] and the acquisition of grammar [9]. In these experiments there is either one robot acting as tutor and another one as learner or a human plays the role of tutor.…”
Section: Introductionmentioning