Abstract | ||
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Autonomous marine vehicles (AMVs) are typically deployed for long periods of time in the ocean to monitor different physical, chemical, and biological processes. Given their limited energy budgets, it makes sense to consider motion plans that leverage the dynamics of the surrounding flow field so as to minimize energy usage for these vehicles. In this letter, we present a graph-search-based method... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LRA.2017.2761939 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Cost function,Vehicle dynamics,Level set,Drag,Path planning,Marine vehicles,Oceans | Drag,Motion planning,Discretization,Graph,Mathematical optimization,Optimal control,Control theory,Flow (psychology),Level set,Vehicle dynamics,Mathematics | Journal |
Volume | Issue | ISSN |
3 | 1 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dhanushka Kularatne | 1 | 0 | 1.69 |
Subhrajit Bhattacharya | 2 | 462 | 36.93 |
M. Ani Hsieh | 3 | 382 | 34.69 |