Emre Ugur


Call for papers

Special Issue on Computational Models of Affordances for Cognitive Robots

The special issue will be published in the IEEE Transactions on Cognitive and Developmental Systems (new name of IEEE Transactions on Autonomous Mental Development).

Important Dates

  • Paper submission deadline extended!: 17 January 2016
  • First notification to authors: 15 April 2016
  • Submission of revised papers: 15 May 2016
  • Final acceptance: 1 July 2016
  • Estimated publication: September 2016.

Guest Editors

General Aim

Autonomous robots need advanced cognition to perform complex tasks efficiently in real-world environments: this means not only the acquisition of specific sensorimotor skills, but also the ability to handle novel situations beyond learned schemas, generalising what is learned to unexpected scenarios. Human infants learn action possibilities provided by the objects, i.e. the object affordances, either by actively exploring them or by observing others' actions. This learning progressively extends to interactions among different objects, eventually leading to the discovery of tool use and to the emergence of prediction and planning capabilities, which are exploited to solve complex tasks through powerful generalisation mechanisms. Interestingly, some other animals show similar cognitive capabilities (e.g. primates, crows). Inspired by these observations, roboticists have been working on computational models for learning object affordances and tool use, that can be employed for prediction and planning, thus enhancing robot autonomy.
The goal of this Special Issue of the Transactions of Autonomous Mental Development is to depict the current state of the art concerning the development of such models in cognitive robots, and to possibly open novel directions. We specifically encourage submissions that highlight collaborative work with researchers from related disciplines, such as psychology or neuroscience, as well as experimental works that show the emergence of cognitive behaviors in real complex robotic platforms (e.g. humanoid robots). Also, extended versions of the works presented at the recent IROS 2015 Workshop on Learning Object Affordances are solicited.


Topics of interest include, but are not limited to:
  • Computational theories of affordances
  • Development of affordance knowledge in biological systems
  • Object exploration strategies in biological and artificial systems
  • Robotic learning of the affordances of objects and tools
  • Embodied and active perception in robots
  • Learning of sensorimotor models in robots
  • Robotic planning using affordances and robotic tool use
  • Machine learning and probabilistic techniques for affordance learning
  • Computer vision algorithms for affordance learning
  • Social affordances

Submission Instructions

Submissions of regular papers (up to 12 double column pages) will be considered. Decision of acceptance/rejection will be based on scientific contribution, originality, and relevance to the topics of the special issue. Moreover, submitted papers will be evaluated in terms of how the described work contributes to, or interfaces with, relevant research in the behavioral sciences (e.g., psychology, linguistics, etc.), and in particular, learning and development in infants and/or children.
We are accepting submissions through Manuscript Central at: https://mc.manuscriptcentral.com/tamd-ieee. (please select Affordance as the submission type)
Authors should mention that "this paper is for the special issue on Affordances" as a note to the Editor at the time of submission through manuscript central.
Instructions for authors: http://ieee-cis.org/pubs/tamd/
It is anticipated that the journal is going to change the name in IEEE Transactions on Cognitive and Developmental Systems, please be advised that the submission website will be updated accordingly.
For more information, please contact Lorenzo Jamone at ljamone (at) isr (dot) ist (dot) utl (dot) pt