[robotics-worldwide] [journals] CfP: Special Issue on "Computational Models of Affordance for Robotics" in Adaptive Behavior

Philipp Zech philipp.zech at uibk.ac.at
Sun Apr 29 08:55:47 PDT 2018


CALL FOR CONTRIBUTIONS

Special Issue on "Computational Models of Affordance for Robotics"

Gibson's theory of affordance, in its adherence to bottom-up direct 
perception, is
antithetical to the top-down inferential models often proposed by modern 
robotics
research purporting to tackle it. Such research assumes internal 
representation to
be sacrosanct, but given current developments, to what extent can this 
assumption
now be reexamined? The recently proposed sensorimotor contingency theory 
furthers
the theoretical argument that internal representation is unnecessary, 
and its
proof-of-concept application in robotics as well as the subsequent 
explosion in
deep learning methodology sheds new light on the possibility of 
equipping robots
with the capacity for directly perceiving their environments by 
exploiting correlated
changes in their sensory inputs triggered by executing specific motor 
programs. This
reexamination of direct perception is only one of several issues 
warranting scrutiny
in current robotic affordance research.

The aim of this special issue is to highlight the relevance of Gibson's 
notion of
affordance for developmental and cognitive robotics. The issue is focused on
contributions from the current panorama of robotics with an emphasis on 
theories
from the ecological, cognitive, developmental and sensorimotor accounts.

We welcome submissions of all types (original research articles, 
reviews, short
communications, and opinions) related to affordances and robotics, 
including but
not limited to the following topics:

- Affordance learning
- Multimodal affordance learning
- Affordance perception and vision for affordances
- Perceptual learning and development
- Babbling and exploration
- Language and affordances
- Learning from observation and mirroring
- Self-organization of knowledge
- Deep learning of affordances
- Bayesian learning of affordances
- Concept learning
- Symbol emergence
- Symbol grounding
- Sensorimotor contingency theory
- Behavior affording behavior
- Actions and functions in object perception
- Brain-body-environment systems
- Agent-environment systems
- Selective attention
- Self-supervised learning
- Sensing physical properties
- Ecologically intuitive physics

This special issue is being released in conjunction with the 1st 
International
workshop on "Computational Models of Affordance in Robotics" 
(https://urldefense.proofpoint.com/v2/url?u=https-3A__afford.gitlab.io_rss-2Dworkshop_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=cuCL8k_UOaY1wwblpJ3BD17D1PYk63DEv5CZm8AAzAg&s=v9zXEC6MAG8IDIDJuaKqzhpTcIx2YS64X-dq7dLbZi4&e=) to be held at the 2018 
Robotics: Science and Systems conference in Pittsburgh, PA, USA. We 
encourage authors to submit early versions of their planned 
contributions to this workshop.


IMPORTANT DATES
===============
Submission of papers:          October 1, 2018
Reviewer's feedback due:       November 30, 2018
Revised submission due:        January 31, 2019
Publication date:              Summer 2019


HANDLING EDITOR
===============
Philipp Zech, University of Innsbruck, Austria
philipp.zech at uibk.ac.at


GUEST EDITORS
=============
Barry Ridge, Jožef Stefan Institute, Slovenia
Emre Ugur, Bogazici University, Turkey

-- 
Intelligent and Interactive System https://urldefense.proofpoint.com/v2/url?u=https-3A__iis.uibk.ac.at_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=cuCL8k_UOaY1wwblpJ3BD17D1PYk63DEv5CZm8AAzAg&s=Fy5hXBZ51sqbMplSkNl3QEwdvPm9VPuEOAsTiirFB58&e=
Department of Computer Science, University of Innsbruck, Austria


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