Optimization-based Trajectory Planning for Tethered Aerial Robots

Martínez-Rozas, S; Alejo, D; Caballero F.; IEEE

Abstract

This paper presents a non-linear optimization method for trajectory planning of tethered aerial robots. Particularly, the paper addresses the planning problem of an unmanned aerial vehicle (UAV) linked to an unmanned ground vehicle (UGV) by means of a tether. The result is a collision-free trajectory for UAV and tether, assuming the UGV position is static. The optimizer takes into account constraints related to the UAV, UGV and tether positions, obstacles and temporal aspects of the motion such as limited robot velocities and accelerations, and finally the tether state, which is not required to be tense. The problem is formulated in a weighted multi-objective optimization framework. Results from simulated scenarios demonstrate that the approach is able to generate obstacle-free and smooth trajectories for the UAV and tether.

Más información

Título según WOS: ID WOS:000765738800033 Not found in local WOS DB
Título de la Revista: 2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2023)
Editorial: IEEE
Fecha de publicación: 2021
Página de inicio: 362
Página final: 368
DOI:

10.1109/ICRA48506.2021.9561062

Notas: ISI