Journal article Open Access

Perception-Aware Perching on Powerlines with Multirotors

L. Paneque, Julio; Martínez de Dios, Jose Ramiro; Ollero, Aníbal; Hanover, Drew; Sun, Sihao; Romero, Ángel; Scaramuzza, Davide

Multirotor aerial robots are becoming widely used for the inspection of powerlines. To enable continuous, robust inspection without human intervention, the robots must be able to perch on the powerlines to recharge their batteries. Highly versatile perching capabilities are necessary to adapt to the variety of configurations and constraints that are present in real powerline systems. This paper presents a novel perching trajectory generation framework that computes perception-aware, collisionfree, and dynamically feasible maneuvers to guide the robot to the desired final state. Trajectory generation is achieved via solving a Nonlinear Programming problem using the Primal-Dual Interior Point method. The problem considers the full dynamic model of the robot down to its single rotor thrusts and minimizes the final pose and velocity errors while avoiding collisions and maximizing the visibility of the powerline during the maneuver. The generated maneuvers consider both the perching and the posterior recovery trajectories. The framework adopts costs and constraints defined by efficient mathematical representations of powerlines, enabling online onboard execution in resource-constrained hardware. The method is validated on-board an agile quadrotor conducting powerline inspection and various perching maneuvers with final pitch values of up to 180°. The developed code is available online at: https://github.com/grvcPerception/pa powerline perching

Files (1.3 MB)
Name Size
RAL22_Paneque_Perching.pdf
md5:97bf58fa933ff43ea4c978e198c42ffb
1.3 MB Download
34
119
views
downloads
Views 34
Downloads 119
Data volume 158.0 MB
Unique views 28
Unique downloads 109

Share

Cite as