ICRA 2011 Paper Abstract


Paper TuP111.3

Bays, Matthew (Virginia Tech), Shende, Apoorva (Virginia Tech), Stilwell, Daniel (Virginia Tech), Redfield, Signe (Naval Surface Warfare Center, PC)

A Solution to the Multiple Aspect Coverage Problem

Scheduled for presentation during the Regular Sessions "Marine and Underwater Robotics I" (TuP111), Tuesday, May 10, 2011, 14:10−14:25, Room 5F

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on April 2, 2020

Keywords Marine Robotics, Motion and Path Planning


We introduce a novel task that arises in underwater search and inspection. In this task, an underwater vehicle must re-acquire and identify clusters of discrete objects. The challenge is to generate an efficient path for the vehicle given a probabilistic description of potential target locations. We propose an algorithm that generates an efficient path and show that the algorithm is superior to standard approaches.



Technical Content © IEEE Robotics & Automation Society

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2020 PaperCept, Inc.
Page generated 2020-04-02  12:01:41 PST  Terms of use