Semi-autonomous unmanned aerial manipulator teleoperation for-and-slide control

被引:1
|
作者
D'Angelo, Simone [1 ,2 ]
Selvaggio, Mario [1 ,2 ]
Lippiello, Vincenzo [1 ]
Ruggiero, Fabio [1 ]
机构
[1] Univ Naples Federico II, Dept Elect Engn & Informat Technol, PRISMA Lab, Via Claudio 21, I-80125 Naples, Italy
[2] Univ Naples Federico II, Ctr Serv Metrol & Tecnol Avanzati CeSMA, Corso Nicolangelo Protopisani, I-80146 Naples, Italy
关键词
Unmanned aerial manipulator; Tilting drone; Interaction control; Visual servoing; Shared control; Push-and-slide; SHARED-CONTROL TELEOPERATION; BILATERAL TELEOPERATION; IMPEDANCE CONTROL; TRACKING CONTROL; QUADROTOR UAV; INSPECTION; FRAMEWORK; VISION; ROBOTS; AUTONOMY;
D O I
10.1016/j.robot.2024.104912
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Performing inspection and maintenance tasks with aerial robots in complex industrial facilities require high levels of maneuverability and dexterity. As full autonomy still struggles to provide robust solutions due to limited adaptability and high development costs, this study explores the paradigm shift towards shared control teleoperation for tilting unmanned aerial manipulators (UAMs). The research initially focuses on integrating onboard camera measurements and interaction force feedback within a parallel force/vision controller for push- and-slide inspection tasks. The control loop lends itself to the development of a semi-autonomous operation architecture that enables a human operator to easily accomplish the task by means of a simple input device. The paper presents a user study evaluating task completion performance with human-in-the-loop control versus fully autonomous execution. Statistical analysis of 20 user experiences provides insights into the levels of autonomy necessary for effective task completion. Among the analyzed control modalities, statistically significant differences arise when the sliding feature is autonomous, denoting it as the most difficult to manually accomplish. The investigation is conducted within a simulated environment to ensure the safety of sensitive instruments and accommodate users with varying levels of expertise. By proposing shared control architectures, this research addresses the challenges of autonomous UAM operations in hazardous industrial environments, highlighting the benefits of human oversight and control in enhancing task efficiency and safety.
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页数:16
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