AUV Hydrobatics: Trajectory Optimization for Water-Exit Jumps

Research output: Contribution to conferences › Paper › Contributed › peer-review

Contributors

  • Lukas Skuras - , Chair of Dynamics and Mechanism Design (Author)
  • Shubham Vyas - , German Research Center for Artificial Intelligence (DFKI) (Author)
  • Tom Vincent Slawik - , German Research Center for Artificial Intelligence (DFKI) (Author)
  • Bilal Wehbe - , German Research Center for Artificial Intelligence (DFKI) (Author)

Abstract

Hydrobatics, the underwater analogue of aerobatics,
enables agile maneuvers that extend the operational envelope
of Autonomous Underwater Vehicles (AUVs). In this paper,
we present a trajectory optimization approach for perform-
ing hydrobatic maneuvers and out-of-water jumps with the
Arrow AUV, a lightweight, low-cost, flight-style vehicle with a
Thrust-to-Weight Ratio (TWR) above three. Feasible trajectories
for the underactuated vehicle are generated offline via direct
transcription and stabilized online with a Time-Varying Linear
Quadratic Regulator (TVLQR). We demonstrate on-the-spot
pitch-up maneuvers, vertical hovering, and water-exit jumps into
ballistic flight, both in simulation and on real hardware in a
saltwater test basin. To the authors’ knowledge, this is the first
demonstration of a flight-style AUV jumping out of the water,
bridging the gap between AUVs and aerial-aquatic transition
vehicles.

Details

Original languageEnglish
Number of pages6
Publication statusAccepted/In press - Sept 2026
Peer-reviewedYes

Conference

Title17th Symposium for Autonomous Underwater Vehicles
Abbreviated titleAUV 2026
Conference number17
Duration1 - 3 September 2026
Website
Degree of recognitionInternational event
LocationNational Oceanography Centre (NOC)
CitySouthampton
CountryUnited Kingdom

Keywords

DFG Classification of Subject Areas according to Review Boards

Keywords

  • AUV, Hydrobatics, Trajectory Optimization, Water-Exit, Jump, TVLQR, Direct Transcription, AUV, Hydrobatics, Trajectory Generation, Water-Exit, Jumping, TVLQR, Direct Transcription