Target detection and tracking encompasses a variety of decisional problems such as
coverage, surveillance, search, patrolling, observing and pursuit-evasion along with others …

This paper surveys recent results in pursuit-evasion and autonomous search relevant to
applications in mobile robotics. We provide a taxonomy of search problems that highlights …

Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

We propose three sampling-based motion planning algorithms for generating informative
mobile robot trajectories. The goal is to find a trajectory that maximizes an information quality …

We propose a decentralized variant of Monte Carlo tree search (MCTS) that is suitable for a
variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimize …

It is generally accepted that systems composed of multiple aerial robots with autonomous
cooperation capabilities can assist responders in many search and rescue (SAR) scenarios …

We discuss the problem of inspecting an underwater structure, such as a submerged ship
hull, with an autonomous underwater vehicle (AUV). Unlike a large body of prior work, we …

We examine the scenario in which a mobile network of robots must search, survey, or cover
an environment and communication is restricted by relative location. While many algorithms …

In this paper, we introduce an informative path planning (IPP) framework for active
classification using unmanned aerial vehicles (UAVs). Our algorithm uses a combination of …