Evaluation of Human-Robot Interfaces Based on 2D/3D Visual and Haptic Feedback for Aerial Manipulation
Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot’s status and environment can limit human awareness and, in turn, task performance. While the pilot’s experience can often compensate for this re...
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| Vydané v: | Journal of intelligent & robotic systems Ročník 111; číslo 3; s. 104 |
|---|---|
| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Dordrecht
Springer Netherlands
18.09.2025
Springer Nature B.V Springer Verlag |
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| ISSN: | 1573-0409, 0921-0296, 1573-0409 |
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| Abstract | Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot’s status and environment can limit human awareness and, in turn, task performance. While the pilot’s experience can often compensate for this reduced flow of information, providing richer feedback is expected to reduce the cognitive workload and offer a more intuitive experience overall. This work aims to understand the significance of providing additional pieces of information during aerial telemanipulation, namely (i) 3D immersive visual feedback about the robot’s surroundings through mixed reality (MR) and (ii) 3D haptic feedback about the robot interaction with the environment. To do so, we developed a human-robot interface able to provide this information. First, we demonstrate its potential in a real-world manipulation task requiring sub-centimeter-level accuracy. Then, we evaluate the individual effect of MR vision and haptic feedback on both dexterity and workload through a human subjects study involving a virtual block transportation task. Results show that both 3D MR vision and haptic feedback improve the operator’s dexterity in the considered teleoperated aerial interaction tasks. Nevertheless, pilot experience remains the most significant factor. |
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| AbstractList | Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance. While the pilot's experience can often compensate for this reduced flow of information, providing richer feedback is expected to reduce the cognitive workload and offer a more intuitive experience overall. This work aims to understand the significance of providing additional pieces of information during aerial telemanipulation, namely (i) 3D immersive visual feedback about the robot's surroundings through mixed reality (MR) and (ii) 3D haptic feedback about the robot interaction with the environment. To do so, we developed a human-robot interface able to provide this information. First, we demonstrate its potential in a real-world manipulation task requiring sub-centimeter-level accuracy. Then, we evaluate the individual effect of MR vision and haptic feedback on both dexterity and workload through a human subjects study involving a virtual block transportation task. Results show that both 3D MR vision and haptic feedback improve the operator's dexterity in the considered teleoperated aerial interaction tasks. Nevertheless, pilot experience remains the most significant factor. |
| ArticleNumber | 104 |
| Author | Mellet, Julien Tognon, Marco Pacchierotti, Claudio Cuniato, Eugenio Siegwart, Roland Allenspach, Mike |
| Author_xml | – sequence: 1 givenname: Julien orcidid: 0009-0007-8386-0012 surname: Mellet fullname: Mellet, Julien email: julien.mellet@unina.it organization: PRISMA Lab, Department of Electrical Engineering and Information Technology, University of Naples Federico II – sequence: 2 givenname: Mike orcidid: 0000-0001-6903-6341 surname: Allenspach fullname: Allenspach, Mike organization: Autonomous Systems Lab (ASL), ETH – sequence: 3 givenname: Eugenio orcidid: 0000-0001-6406-3308 surname: Cuniato fullname: Cuniato, Eugenio organization: Autonomous Systems Lab (ASL), ETH – sequence: 4 givenname: Claudio orcidid: 0000-0002-8006-9168 surname: Pacchierotti fullname: Pacchierotti, Claudio organization: Univ Rennes, CNRS, Inria, IRISA - UMR 6074 – sequence: 5 givenname: Roland orcidid: 0000-0002-2760-7983 surname: Siegwart fullname: Siegwart, Roland organization: Autonomous Systems Lab (ASL), ETH – sequence: 6 givenname: Marco orcidid: 0000-0003-1700-9637 surname: Tognon fullname: Tognon, Marco organization: Univ Rennes, CNRS, Inria, IRISA - UMR 6074 |
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| SubjectTerms | Artificial Intelligence Computer Science Control Electrical Engineering Engineering Feedback Haptics Human-Computer Interaction Information flow Man-machine interfaces Mechanical Engineering Mechatronics Mixed reality Regular Paper Robotics Robots Vision Workload Workloads |
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| Title | Evaluation of Human-Robot Interfaces Based on 2D/3D Visual and Haptic Feedback for Aerial Manipulation |
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