View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams
We study the problem of viewpoint planning in static and dynamic scenes using multi-robot teams. This work is motivated by two applications: bridge inspection and environmental monitoring using Unmanned Aerial Vehicles. For static scenes, we are given a set of target points in a polygonal environmen...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-788072020-09-29T05:42:12Z View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams Budhiraja, Ashish Kumar Electrical and Computer Engineering Tokekar, Pratap Furukawa, Tomonari Williams, Ryan K. Multi-Robot Coordination Traveling Salesman Problem Target Tracking We study the problem of viewpoint planning in static and dynamic scenes using multi-robot teams. This work is motivated by two applications: bridge inspection and environmental monitoring using Unmanned Aerial Vehicles. For static scenes, we are given a set of target points in a polygonal environment that must be monitored using robots with cameras. The goal is to compute a tour for all the robots such that every target is visible from at least one tour. We solve this problem optimally by reducing it to Generalized Travelling Salesman Problem. For dynamic scenes, we study the multi-robot assignment problem for multi-target tracking. The problem can be viewed as the mixed packing and covering problem. We optimally solve the problem using Mixed Quadratic Integer Linear Program to maximize the total number of targets covered. In addition to theoretical contribution, we also present our hardware system design and findings from field experiments. Master of Science 2017-09-06T08:01:14Z 2017-09-06T08:01:14Z 2017-09-05 Thesis vt_gsexam:12641 http://hdl.handle.net/10919/78807 In Copyright http://rightsstatements.org/vocab/InC/1.0/ ETD application/pdf Virginia Tech |
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Multi-Robot Coordination Traveling Salesman Problem Target Tracking |
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Multi-Robot Coordination Traveling Salesman Problem Target Tracking Budhiraja, Ashish Kumar View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams |
description |
We study the problem of viewpoint planning in static and dynamic scenes using multi-robot teams. This work is motivated by two applications: bridge inspection and environmental monitoring using Unmanned Aerial Vehicles. For static scenes, we are given a set of target points in a polygonal environment that must be monitored using robots with cameras. The goal is to compute a tour for all the robots such that every target is visible from at least one tour. We solve this problem optimally by reducing it to Generalized Travelling Salesman Problem. For dynamic scenes, we study the multi-robot assignment problem for multi-target tracking. The problem can be viewed as the mixed packing and covering problem. We optimally solve the problem using Mixed Quadratic Integer Linear Program to maximize the total number of targets covered. In addition to theoretical contribution, we also present our hardware system design and findings from field experiments. === Master of Science |
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Electrical and Computer Engineering |
author_facet |
Electrical and Computer Engineering Budhiraja, Ashish Kumar |
author |
Budhiraja, Ashish Kumar |
author_sort |
Budhiraja, Ashish Kumar |
title |
View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams |
title_short |
View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams |
title_full |
View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams |
title_fullStr |
View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams |
title_full_unstemmed |
View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams |
title_sort |
view point planning for inspecting static and dynamic scenes with multi-robot teams |
publisher |
Virginia Tech |
publishDate |
2017 |
url |
http://hdl.handle.net/10919/78807 |
work_keys_str_mv |
AT budhirajaashishkumar viewpointplanningforinspectingstaticanddynamicsceneswithmultirobotteams |
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1719345441387053056 |