Conference Proceedings

Generating minimum-snap quadrotor trajectories really fast

D Burke, A Chapman, I Shames

IEEE International Conference on Intelligent Robots and Systems | Published : 2020

Abstract

We propose an algorithm for generating minimum-snap trajectories for quadrotors with linear computational complexity with respect to the number of segments in the spline trajectory. Our algorithm is numerically stable for large numbers of segments and is able to generate trajectories of more than 500, 000 segments. The computational speed and numerical stability of our algorithm makes it suitable for real-time generation of very large scale trajectories. We demonstrate the performance of our algorithm and compare it to existing methods, in which it is both faster and able to calculate larger trajectories than state-of-the-art. We also show the feasibility of the trajectories experimentally w..

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Grants

Awarded by Australian Government


Funding Acknowledgements

The first and second authors are with the Department of Mechanical Engineering and third with the Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, 3010 Australia. Emails: f declanb@student.,airlie.chapman@,iman.shames@gunimelb.edu.au.This work is partially supported by Defence Science and Technology Group, through agreement MyIP: ID9156 entitled "Verifiable Hierarchical Sensing, Planning and Control", the Australian Government, via grant AUSMURIB000001 associated with ONR MURI grant N00014-19-1-2571.