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Using Linear Splines to Continuously Develop Understanding of Affordances

Lagerstedt, Erik LU (2013) KOGM20 20131
Cognitive Science
Abstract
Understanding affordance is a bottom-up process that lets simple visual features be used as clues on how to use an object, so that reasonable interactions with objects can be achieved, without any semantic knowledge. Linear splines are proposed as a way for robots to fast and continuously learn how their actions affect their surroundings. The general conclusions that they can draw from only little experience, using this method, are seen as an example of understanding affordances, and the specific case investigated by the robot created as a part of this thesis, is how pushing actions affect small blocks. This information will be used by the robot to perform goal directed tasks, namely to push the block to specific predetermined positions. A... (More)
Understanding affordance is a bottom-up process that lets simple visual features be used as clues on how to use an object, so that reasonable interactions with objects can be achieved, without any semantic knowledge. Linear splines are proposed as a way for robots to fast and continuously learn how their actions affect their surroundings. The general conclusions that they can draw from only little experience, using this method, are seen as an example of understanding affordances, and the specific case investigated by the robot created as a part of this thesis, is how pushing actions affect small blocks. This information will be used by the robot to perform goal directed tasks, namely to push the block to specific predetermined positions. A way to make generalised predictions, so that actions on new shapes can be performed in a reasonable way without any previous interaction, is proposed. It becomes obvious that good inner representations of actions and reactions are necessary, as well as some management of learned relations. (Less)
Please use this url to cite or link to this publication:
author
Lagerstedt, Erik LU
supervisor
organization
course
KOGM20 20131
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
3865279
date added to LUP
2013-10-07 16:33:50
date last changed
2013-10-07 16:33:50
@misc{3865279,
  abstract     = {Understanding affordance is a bottom-up process that lets simple visual features be used as clues on how to use an object, so that reasonable interactions with objects can be achieved, without any semantic knowledge. Linear splines are proposed as a way for robots to fast and continuously learn how their actions affect their surroundings. The general conclusions that they can draw from only little experience, using this method, are seen as an example of understanding affordances, and the specific case investigated by the robot created as a part of this thesis, is how pushing actions affect small blocks. This information will be used by the robot to perform goal directed tasks, namely to push the block to specific predetermined positions. A way to make generalised predictions, so that actions on new shapes can be performed in a reasonable way without any previous interaction, is proposed. It becomes obvious that good inner representations of actions and reactions are necessary, as well as some management of learned relations.},
  author       = {Lagerstedt, Erik},
  language     = {eng},
  note         = {Student Paper},
  title        = {Using Linear Splines to Continuously Develop Understanding of Affordances},
  year         = {2013},
}