Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

In this paper, we consider the problem of exploring an unknown environment with a team of
robots. As in single-robot exploration the goal is to minimize the overall exploration time. The …

This paper presents a new method for simultaneous localization and map** that exploits
the topology of the robot's free space to localize the robot on a partially constructed map …

The hierarchical generalized Voronoi graph (HGVG) is a new roadmap developed for
sensor-based exploration in unknown environments. This paper defines the HGVG structure …

Droplets emitting surface-active chemicals exhibit chemotaxis toward low-pH regions. Such
droplets are self-propelled and navigate through a complex maze to seek a source of acid …

In this paper, we introduce the concept of self-quotient image (SQI) for robust face
recognition under varying lighting conditions. It is based on the quotient image method …

" Robotic Map** and Exploration" is an important contribution in the area of simultaneous
localization and map** (SLAM) for autonomous robots, which has been receiving a great …

A robot has to construct a complete map of an unknown environment modeled as an
undirected connected graph. The task is to explore all nodes and edges of the graph using …

A methodology is developed for planning the sensing strategy of a robotic sensor deployed
for the purpose of classifying multiple fixed targets located in an obstacle-populated …

A finite automaton, simply referred to as a robot, has to explore a graph whose nodes are
unlabeled and whose edge ports are locally labeled at each node. The robot has no a priori …