Title
Persistent Monitoring With Refueling On A Terrain Using A Team Of Aerial And Ground Robots
Abstract
There are many applications such as surveillance and mapping that require persistent monitoring of terrains. In this work, we consider a heterogeneous team of aerial and ground robots that are tasked with monitoring a terrain along a given path. Both types of robots are equipped with cameras that can monitor the terrain within their fields-of-view. We also consider the ability of the aerial robots to land occasionally on the terrain to recharge. The objective is to find a path for all the robots to reduce the time required. Determining optimal routes for the robots is a challenging problem because of constrained visibility due to the terrain and fuel limitations of the robots. We devise an MILP formulation for the problem using a 1.5 dimensional representation model. A branch-and-cut framework is used to implement the MILP and involves the design of a separation algorithm to compute valid inequalities. We report results from extensive simulations and proof-of-concept field experiments to show the efficacy of our approach.
Year
DOI
Venue
2018
10.1109/IROS.2018.8593508
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
Field
DocType
ISSN
Kernel (linear algebra),Visibility,Computer science,Terrain,Control engineering,Real-time computing,Separation algorithm,Robot
Conference
2153-0858
Citations 
PageRank 
References 
1
0.36
0
Authors
4
Name
Order
Citations
PageRank
Parikshit Maini163.80
Kevin C. Yu2148.45
P. B. Sujit319017.84
Pratap Tokekar421329.34