The dramatic increase in the capabilities and availability of autonomous ground and aerial
tools introduces safety and security challenges, particularly in protecting strategic …

Unmanned aerial vehicles represent a new frontier in a wide range of monitoring and
research applications. To fully leverage their potential, a key challenge is planning missions …

Policies for partially observed Markov decision processes can be efficiently learned by
imitating expert policies generated using asymmetric information. Unfortunately, existing …

In this article, an overview of the application of optimization algorithms inspired by nature in
the design of the flight path has been discussed. The significant increase in the capabilities …

This work considers training conditional probability distributions called policies, using
simulated environments via gradient-based optimization methods. It begins by investigating …

Autonomous target search is crucial for deploying Micro Aerial Vehicles (MAVs) in
emergency response and rescue missions. Existing approaches either focus on 2D …

Unmanned aerial vehicles can increase the efficiency of information gathering applications.
A key challenge is balancing the search across multiple locations of varying importance …