Aerial Tensile Perching and Disentangling Mechanism for Long-Term Environmental Monitoring

• Published in: 2024 IEEE International Conference on Robotics and Automation (ICRA) pp. 3827 - 3833
• Main Authors: Lan, Tian, Romanello, Luca, Kovac, Mirko, Armanini, Sophie F., Bahadir Kocer, Basaran
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13-05-2024
• Subjects: Autonomous aerial vehicles; Data collection; Energy conservation; Energy efficiency; Forestry; Propellers; Windings
• DOI: 10.1109/ICRA57147.2024.10609975

Aerial robots show significant potential for forest canopy research and environmental monitoring by providing data collection capabilities at high spatial and temporal resolutions. However, limited flight endurance hinders their application. Inspired by natural perching behaviours, we propose a multi-modal aerial robot system that integrates tensile perching for energy conservation and a suspended actuated pod for data collection. The system consists of a quadrotor drone, a slewing ring mechanism allowing 360° tether rotation, and a streamlined pod with two ducted propellers connected via a tether. Winding and unwinding the tether allows the pod to move within the canopy, and activating the propellers allows the tether to be wrapped around branches for perching or disentangling. We experimentally determined the minimum counterweights required for stable perching under various conditions. Building on this, we devised and evaluated multiple perching and disentangling strategies. Comparisons of perching and disentangling manoeuvres demonstrate energy savings that could be further maximized with the use of the pod or tether winding. These approaches can reduce energy consumption to only 22% and 1.5%, respectively, compared to a drone disentangling manoeuvre. We also calculated the minimum idle time required by the proposed system after the system perching and motor shut down to save energy on a mission, which is 48.9% of the operating time. Overall, the integrated system expands the operational capabilities and enhances the energy efficiency of aerial robots for long-term monitoring tasks.