Aging societies, labor shortages and increasing wage costs call for
assi...
Humans have developed the capability to teach relevant aspects of new or...
This paper presents a hybrid robot cognitive architecture, CRAM, that en...
We introduce Joint Probability Trees (JPT), a novel approach that makes
...
In both industrial and service domains, a central benefit of the use of
...
A key challenge for robotic systems is to figure out the behavior of ano...
Today's database systems have shown to be capable of supporting AI
appli...
Challenging manipulation tasks can be solved effectively by combining
in...
Human developers want to program robots using abstract instructions, suc...
Anticipating what might happen as a result of an action is an essential
...
In this paper we present a system capable of collecting and annotating, ...
In this paper, we present foundations of the Socio-physical Model of
Act...
Many of today's robot perception systems aim at accomplishing perception...
In this paper, we present an experiment, designed to investigate and eva...
Manipulation planning and control are relevant building blocks of a robo...
A pressing question when designing intelligent autonomous systems is how...
Mobile robots, performing long-term manipulation activities in human
env...
In this paper, we investigate the possibility of applying plan
transform...
Plan execution on real robots in realistic environments is underdetermin...
We address the problem of executing tool-using manipulation skills in
sc...
A key problem in the application of first-order probabilistic methods is...
We propose the concept of Action-Related Place (ARPlace) as a powerful a...