We present the results of experiments performed using a small autonomous underwater
vehicle to determine the location of an isobath within a bounded area. The primary …

The computational difficulty of planning search paths that seek to maximize a general
deterministic value function increases dramatically as desired path lengths increase. Mobile …

We present a multi-agent approach to receding horizon path planning that utilizes terminal
costs. We show that the value of the receding horizon paths produced using the proposed …

This thesis describes the development of an indoor water tank facility for controls research
and the design, testing, and system identification of a miniature underwater vehicle capable …

Expected value computations are a key bottleneck for path planning under uncertainty.
Computing an expected value requires integrating over the uncertainty domain, which may …

Learning How to Learn Bathymetry Page 1 Learning How to Learn Bathymetry Christopher
Iliffe Sprague, Petter Ogren Robotics, Perception, and Learning (RPL) KTH Royal Institute of …

This work is inspired by robotic search applications where a robot or team of robots is
equipped with sensors and tasked to autonomously acquire as much information as …