Area coverage is an important problem in robotics applications, which has been widely used
in search and rescue, offshore industrial inspection, and smart agriculture. This paper …

Robots have found their purpose in various situations, from speeding the manufacturing
processes to performing complicated tasks in dangerous and hostile environments. One of …

This paper presents an efficient path-planner based on a hybrid optimization algorithm for
autonomous underwater vehicles (AUVs) operating in cluttered and uncertain environments …

This paper seeks to enhance the autonomy of underwater vehicles. The proposed approach
takes as input a mission specified via a regular language and automatically plans a collision …

We combine decision theory with fundamental stochastic time-optimal path planning to
develop partial-differential-equations-based schemes for risk-optimal path planning in …

We propose a new risk-constrained reformulation of the standard Linear Quadratic
Regulator (LQR) problem. Our framework is motivated by the fact that the classical (risk …

This paper presents novel data fusion methods that enable teams of vehicles to perform
target search tasks without guaranteed communication. Techniques are introduced for …

Operating autonomous underwater vehicles (AUVs) near shore is challenging—heavy
shipping traffic and other hazards threaten AUV safety at the surface, and strong ocean …

This paper presents a novel path planning method for minimizing the energy consumption of
an autonomous underwater vehicle subjected to time varying ocean disturbances and …

Energy-efficient path planning is essential for the autonomous underwater vehicle (AUV)-
based ocean exploration. Existing static environment-based AUV path planners do not work …