Six-DoF Hand-Based Teleoperation for Omnidirectional Aerial Robots
Jinjie Li, Jiaxuan Li, Kotaro Kaneko, Haokun Liu, Liming Shu, and Moju Zhao

TL;DR
This paper presents a novel aerial teleoperation system that leverages human hand gestures and multiple interaction modes to enhance control and manipulation of omnidirectional aerial robots in complex environments.
Contribution
It introduces a new teleoperation framework combining hand gesture tracking and multiple interaction modes tailored for omnidirectional aerial robots.
Findings
Effective mode switching using hand gestures demonstrated.
Successful manipulation of a valve in real-world tests.
Enhanced control over 6-DoF aerial robots achieved.
Abstract
Omnidirectional aerial robots offer full 6-DoF independent control over position and orientation, making them popular for aerial manipulation. Although advancements in robotic autonomy, human operation remains essential in complex aerial environments. Existing teleoperation approaches for multirotors fail to fully leverage the additional DoFs provided by omnidirectional rotation. Additionally, the dexterity of human fingers should be exploited for more engaged interaction. In this work, we propose an aerial teleoperation system that brings the rotational flexibility of human hands into the unbounded aerial workspace. Our system includes two motion-tracking marker sets--one on the shoulder and one on the hand--along with a data glove to capture hand gestures. Using these inputs, we design four interaction modes for different tasks, including Spherical Mode and Cartesian Mode for…
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Taxonomy
TopicsTeleoperation and Haptic Systems · Virtual Reality Applications and Impacts · Robotics and Automated Systems
