Path and trajectory planning of a tethered UAV-UGV marsupial robotic system
Abstract
This letter addresses the problem of trajectory planning in a marsupial robotic system consisting of an unmanned aerial vehicle (UAV) linked to an unmanned ground vehicle (UGV) through a non-taut tether withcontrollable length. To the best of our knowledge, this is the first method that addresses the trajectory planning of a marsupial UGV-UAV with a non-taut tether. The objective is to determine a synchronized collision-free trajectory for the three marsupial system agents: UAV, UGV, and tether. First, we present a path planning solution based on optimal Rapidly-exploring Random Trees (RRT*) with novel sampling and steering techniques to speed-up the computation. This algorithm is able to obtain collision-free paths for the UAV and the UGV, taking into account the 3D environment and the tether. Then, the paper presents a trajectory planner based on non-linear least squares. The optimizer takes into account aspects not considered in the path planning, like temporal constraints of the motion imposed by limits on the velocities and accelerations of the robots , or raising the tether's clearance. Simulated and field test results demonstrate that the approach generates obstacle-free, smooth, and feasible trajectories for the marsupial system.
Keywords
Cite
@article{arxiv.2305.00281,
title = {Path and trajectory planning of a tethered UAV-UGV marsupial robotic system},
author = {S. Mart/'inez-Rozas and D. Alejo and F. Caballero and L. Merino},
journal= {arXiv preprint arXiv:2305.00281},
year = {2023}
}
Comments
This work has duplication, and in its case the article uploaded by my colleague David Alejo (arXiv:2204.01828) should be considered. In this way we only want to publish the article arXiv:2204.01828 for later updating