A Cooperative Aerial System of A Payload Drone Equipped with Dexterous Rappelling End Droid for Cluttered Space Pickup
Wenjing Ren, Xin Dong, Yangjie Cui, Binqi Yang, Haoze Li, Tao Yu, Jinwu Xiang, Daochun Li, and Zhan Tu

TL;DR
This paper introduces a cooperative drone system with a dexterous end droid and a trajectory optimization method to safely and effectively pick up payloads in cluttered environments like forests.
Contribution
It presents a novel cooperative aerial system with a dexterous end droid and a trajectory optimization approach for payload pickup in cluttered spaces.
Findings
Successful payload pickup in cluttered environments demonstrated in simulations and real-world tests.
The system effectively avoids cable tangling and obstacles during pickup.
Passive retrieval during lifting enhances safety and efficiency.
Abstract
In cluttered spaces, such as forests, drone picking up a payload via an abseil claw is an open challenge, as the cable is likely tangled and blocked by the branches and obstacles. To address such a challenge, in this work, a cooperative aerial system is proposed, which consists of a payload drone and a dexterous rappelling end droid. The two ends are linked via a Kevlar tether cable. The end droid is actuated by four propellers, which enable mid-air dexterous adjustment of clawing angle and guidance of cable movement. To avoid tanglement and rappelling obstacles, a trajectory optimization method that integrates cable length constraints and dynamic feasibility is developed, which guarantees safe pickup. A tether cable dynamic model is established to evaluate real-time cable status, considering both taut and sagging conditions. Simulation and real-world experiments are conducted to…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Aerospace Engineering and Control Systems · Space Satellite Systems and Control
