Abstract — A novel mechanism is introduced by which a robot can connect the general notion of an affordance of an object to specific behaviors by which the robot can achieve the desired action. We achieve this by decomposing an affordance-drive behavior into three components. We first define controllers that specify how to achieve a desired change in object state through changes in the agent’s state. For each controller we develop at least one behavior primitive that determines how the controller outputs translate to specific movements of the agent. Additionally we provide at least one perceptual proxy that defines the representation of the object that is to be computed as input to the controller during execution. A variety of proxies may b...
The concept of affordances was introduced by J. J. Gibson to explain how inherent “values ” and “mea...
This thesis studies how an autonomous robot can learn affordances from its interactions with the env...
In this thesis, the problem of unsupervised discovery and learning of manipulations for an object is...
The concept of affordances, with its empha-sis to the interactions between the robot and the environ...
2018-07-18Robots can plan and accomplish various tasks in unknown environments by understanding the ...
Abstract—In this paper, we propose a method that enables a robot to learn not only the existence of ...
We propose a developmental framework that enables the robot to learn affordances through interaction...
The concept of affordances was introduced by J.J. Gibson to explain how inherent “val-ues ” and “mea...
In this paper, we use the notion of affordances, proposed in cognitive science, as a framework to pr...
The concept of affordances has been used in robotics to model action opportunities of a robot and as...
Abstract—In this paper, we use the notion of affordances, proposed in cognitive science, as a framew...
<p>Automatic knowledge grounding is still an open problem in cognitive robotics. Recent research in ...
Affordances define the action possibilities on an object in the environment and in robotics they pla...
This paper presents a novel object–object affordance learning approach that enables intelligent robo...
This work extends the affordance-inspired robot control architecture introduced in the MACS project ...
The concept of affordances was introduced by J. J. Gibson to explain how inherent “values ” and “mea...
This thesis studies how an autonomous robot can learn affordances from its interactions with the env...
In this thesis, the problem of unsupervised discovery and learning of manipulations for an object is...
The concept of affordances, with its empha-sis to the interactions between the robot and the environ...
2018-07-18Robots can plan and accomplish various tasks in unknown environments by understanding the ...
Abstract—In this paper, we propose a method that enables a robot to learn not only the existence of ...
We propose a developmental framework that enables the robot to learn affordances through interaction...
The concept of affordances was introduced by J.J. Gibson to explain how inherent “val-ues ” and “mea...
In this paper, we use the notion of affordances, proposed in cognitive science, as a framework to pr...
The concept of affordances has been used in robotics to model action opportunities of a robot and as...
Abstract—In this paper, we use the notion of affordances, proposed in cognitive science, as a framew...
<p>Automatic knowledge grounding is still an open problem in cognitive robotics. Recent research in ...
Affordances define the action possibilities on an object in the environment and in robotics they pla...
This paper presents a novel object–object affordance learning approach that enables intelligent robo...
This work extends the affordance-inspired robot control architecture introduced in the MACS project ...
The concept of affordances was introduced by J. J. Gibson to explain how inherent “values ” and “mea...
This thesis studies how an autonomous robot can learn affordances from its interactions with the env...
In this thesis, the problem of unsupervised discovery and learning of manipulations for an object is...