Keywords: Aerial Manipulation, Learning-Based Grasping, Autonomous Flight, Robotic Systems, Soft Grasping
TL;DR: We propose an open-source soft robotic platform for autonomous aerial manipulation in the wild that uses only onboard perception for self- and target localization.
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 off-board 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 modern ROS 2 software stack and custom hardware design, making our contributions accessible to the broader research community.
Supplementary Material: zip
Spotlight Video: mp4
Video: https://youtu.be/xUQI-Lzwb-4
Website: https://sites.google.com/view/open-source-soft-platform/open-source-soft-robotic-platform
Code: https://github.com/srl-ethz/osprey
Publication Agreement: pdf
Student Paper: yes
Submission Number: 713
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