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

This paper presents a new sensing modality for multirobot exploration. The approach is
based on using a pair of robots that observe each other, and act in concert to reduce …

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 …

Fuzzy logic systems are promising for efficient obstacle avoidance. However, it is difficult to
maintain the correctness, consistency, and completeness of a fuzzy rule base constructed …

The worldwide reach of the Internet allows malicious cyber criminals to coordinate and
launch attacks on both cyber and cyber-physical infrastructure from anywhere in the world …

A formal framework for navigating a robot in a geometric terrain by an unknown set of
obstacles is considered. Here the terrain model is not a priori known, but the robot is …

This paper deals with the intelligent exploration of an unknown environment by autonomous
robots. In particular, we present an algorithm and associated analysis for collaborative …

The majority of planning algorithms used are based on the occupancy grid maps, but in
complicated situations, the occupancy grid maps have a significant search overhead. This …

Path planning in unknown environments remains a challenging problem, as the
environment is gradually observed during the navigation, the underlying planner has to …

Planning in nondeterministic domains is typically intractable due to the large number of
contingencies. Two techniques for speeding up planning in nondeterministic domains are …