Understanding human activities and object affordances are two very important skills,
especially for personal robots which operate in human environments. In this work, we …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

When robots work alongside humans for performing collaborative tasks, they need to be
able to anticipate human's future actions and plan appropriate actions. The tasks we …

Abstract Objects in human environments support various functionalities which govern how
people interact with their environments in order to perform tasks. In this work, we discuss …

The direct perception of actions allows a robot to predict the afforded actions of observed
objects. In this paper, we present a non-parametric approach to representing the affordance …

For a developmental robotic system to function successfully in the real world, it is important
that it be able to form its own internal representations of affordance classes based on …

Automatic knowledge grounding is still an open problem in cognitive robotics. Recent
research in developmental robotics suggests that a robot's interaction with its environment is …

Humans are able to come up with plans to achieve their goals, and to adapt these plans to
changes in their environment, finding fixes, alternatives and taking advantages of …

In this paper we propose an approach to distinguish affordances on a fine-grained scale. We
define an anthropomorphic agent model and parameterized affordance models. The agent …

Recently, object affordances have moved into the focus of researchers in computer vision.
Affordances describe how an object can be used by a specific agent. This additional …