Trajectory Planning for the Shapeshifting of Autonomous Surface Vessels

Banti Gheneti, Shinkyu Park, Ryan Kelly, Drew Meyers, Pietro Leoni, Carlo Ratti, Daniela Rus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We present a trajectory planning algorithm for the shapeshifting of reconfigurable modular surface vessels. Each vessel is designed to latch with and unlatch from other vessels, which we aim to use to create dynamic infrastructure, such as on-demand bridges and temporary market squares, in canal environments. Our algorithm generates smooth and collision-free trajectories that the vessels can track to reconfigure their connections. We formulate the trajectory planning problem as Mixed Integer Quadratic Programming (MIQP) with a B-spline representation. We conceive a physical platform of the reconfigurable modular vessels and, through swimming pool experiments, show the efficacy of our trajectory planning algorithm for the shapeshifting of the vessels.
Original languageEnglish (US)
Title of host publicationInternational Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-82
Number of pages7
ISBN (Print)9781728128764
DOIs
StatePublished - Aug 1 2019
Externally publishedYes

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