An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild

TL;DR

This paper presents an open-source, onboard perception-based aerial manipulation platform capable of autonomous object grasping in diverse environments, eliminating reliance on external perception systems and enhancing scalability.

Contribution

The authors introduce a novel open-source aerial manipulation platform that operates autonomously using only onboard perception, suitable for indoor and outdoor environments.

Findings

Successfully grasped objects in various settings

Operates autonomously without external perception systems

Open-source ROS 2 software and hardware design provided

Abstract

Aerial manipulation combines the versatility and speed of flying platforms with the functional capabilities of mobile manipulation, which presents significant challenges due to the need for precise localization and control. Traditionally, researchers have relied on offboard perception systems, which are limited to expensive and impractical specially equipped indoor environments. In this work, we introduce a novel platform for autonomous aerial manipulation that exclusively utilizes onboard perception systems. Our platform can perform aerial manipulation in various indoor and outdoor environments without depending on external perception systems. Our experimental results demonstrate the platform's ability to autonomously grasp various objects in diverse settings. This advancement significantly improves the scalability and practicality of aerial manipulation applications by eliminating the need for costly tracking solutions. To accelerate future research, we open source our ROS 2 software stack and custom hardware design, making our contributions accessible to the broader research community.