In recent years unmanned vehicles have grown in popularity, with an ever increasing
number of applications in industry, the military and research within air, ground and marine …

In recent years, particle filters have solved several hard perceptual problems in robotics.
Early successes of particle filters were limited to low-dimensional estimation problems, such …

The all-pairs-similarity-search (or similarity join) problem has been extensively studied for
text and a handful of other datatypes. However, surprisingly little progress has been made …

To navigate reliably in indoor environments, a mobile robot must know where it is. Thus,
reliable position estimation is a key problem in mobile robotics. We believe that probabilistic …

Mobile robot localization is the problem of determining a robot's pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo …

This article describes the software architecture of an autonomous, interactive tour-guide
robot. It presents a modular and distributed software architecture, which integrates …

In real world planning problems, time for deliberation is often limited. Anytime planners are
well suited for these problems: they find a feasible solution quickly and then continually work …

Instrumental responses are hypothesized to be of two kinds: habitual and goal-directed,
mediated by the sensorimotor and the associative cortico-basal ganglia circuits …

We present a graph-based planning and replanning algorithm able to produce bounded
suboptimal solutions in an anytime fashion. Our algorithm tunes the quality of its solution …

This paper presents a statistical algorithm for collaborative mobile robot localization. Our
approach uses a sample-based version of Markov localization, capable of localizing mobile …