We present a unified framework which supports grounding natural-language semantics in
robotic driving. This framework supports acquisition (learning grounded meanings of nouns …

We present a unified framework which supports grounding natural-language semantics in
robotic driving. This framework supports acquisition (learning grounded meanings of nouns …

The need for spatial representations and spatial reasoning is omnipresent in various real
world applications of autonomous systems. The task of the qualitative spatial reasoning sub …

In this paper, we report on our development of a robotic system that assists people in
accomplishing simple tasks in daily life (eg, retrieving objects for handicapped and elderly …

In this paper, we discuss how humans locate and detect objects using spatial expressions.
Then we propose a spatial-based feature for object localization and recognition tasks. We …

Abstract The Undersea Cooperative Cueing and Intervention (UC2I) Program objectives
include a heavy emphasis on developing autonomy for both unmanned underwater vehicles …

This work proposes a qualitative model of location and orientation relations defined over
spatial expressions in Brazilian Portuguese. This model was automatically obtained from …

I present my work on learning from video and robotic input. This is an important problem,
with numerous potential applications. The use of machine learning makes it possible to …

The current state of the art in military and first responder ground robots involves heavy
physical and cognitive burdens on the human operator while taking little to no advantage of …

We introduce a spatial-based feature approach to locating and recognizing objects in cases
where several identical or similar objects are accumulated together. With respect to …