journal article·2025-10-16Open access

VR-Based Teleoperation of UAV–Manipulator Systems: From Single-UAV Control to Dual-UAV Cooperative Manipulation

Zhaotong Yang, Kohji Tomita, Akiya Kamimura

Applied Sciences· Volume 15· Issue 20

Abstract

In this paper, we present a VR-based control framework for multi-UAV (rotorcraft-type) aerial manipulation that enables simultaneous control of each UAV and its onboard five-degree-of-freedom (5-DoF) manipulator using virtual-reality controllers. Instead of relying on dense button mappings or predefined gestures, the framework maps natural VR-controller motions in real time to vehicle pose and arm joint commands. The UAVs respond smoothly to translational and rotational inputs, while the manipulators accurately replicate dexterous hand motions for precise grasping. Beyond single-platform operation, we extend the framework to cooperative dual-UAV manipulation, leveraging two-hand poses captured via VR controllers to coordinate two UAV-arm systems for payload transportation and obstacle traversal. Simulation experiments demonstrate accurate trajectory tracking and the potential for successful cooperative transport in cluttered environments, indicating the framework’s suitability for telemanipulation, search-and-rescue, and industrial tasks.
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Research context

OpenAlex topics: Teleoperation and Haptic Systems · Gaze Tracking and Assistive Technology · Robot Manipulation and Learning

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba 305-8577, Japan

National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568, Japan

References (31)

Show source-provided references
1. Classifications, applications, and design challenges of drones: A review10.1016/j.paerosci.2017.04.003 ↗
2. Past Present and Future of Aerial Robotic Manipulators10.1109/TRO.2021.3084395 ↗
3. Michael Gassner, T.C., and Scaramuzza, D. (June, January 29). Dynamic Collaboration Without Communication: Vision-Based Cable-Suspended Load Transport with Two Quadrotors. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore. Available online: https://ieeexplore.ieee.org/document/7989609.
4. Tanriverdi, V., and Jacob, R.J.K. (2000, January 1–6). Interacting with eye movements in virtual environments. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA.10.1145/332040.332443 ↗
5. Sibert, L.E., and Jacob, R.J.K. (2000, January 1–6). Evaluation of eye gaze interaction. Proceedings of the CHI00: Human Factors in Computing Systems, The Hague, The Netherlands.10.1145/332040.332445 ↗
6. Yu, D., Lu, X., Shi, R., Liang, H.N., Dingler, T., Velloso, E., and Goncalves, J. (2021, January 8–13). Gaze-Supported 3D Object Manipulation in Virtual Reality. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan.10.1145/3411764.3445343 ↗
7. Naseer, F., Ullah, G., Siddiqui, M.A., Khan, M.J., Hong, K.-S., and Naseer, N. (2022, January 4–7). Deep learning-based unmanned aerial vehicle control with hand gesture and computer vision. Proceedings of the 2022 13th Asian Control Conference (ASCC), Jeju Island, Republic of Korea.10.23919/ASCC56756.2022.9828347 ↗
8. De Fazio, R., Mastronardi, V.M., Petruzzi, M., De Vittorio, M., and Visconti, P. (2023). Human–Machine Interaction through Advanced Haptic Sensors: A Piezoelectric Sensory Glove with Edge Machine Learning for Gesture and Object Recognition. Future Internet, 15.10.3390/fi15010014 ↗
9. Yun, G., Kwak, H., and Kim, D.H. (2024). Single-Handed Gesture Recognition with RGB Camera for Drone Motion Control. Appl. Sci., 14.10.3390/app142210230 ↗
10. Implementation of a User-Friendly Drone Control Interface Using Hand Gestures and Vibrotactile Feedback10.5302/J.ICROS.2022.22.8004 ↗
11. Magic Carpet: Interaction Fidelity for Flying in VR10.1109/TVCG.2019.2905200 ↗
12. Shin, S.-Y., Kang, Y.-W., and Kim, Y.-G. (2019, January 11–13). Hand Gesture-based Wearable Human-Drone Interface for Intuitive Movement Control. Proceedings of the 2019 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA. Available online: https://ieeexplore.ieee.org/document/8662106.10.1109/ICCE.2019.8662106 ↗
13. Lee, J.-W., and Yu, K.-H. (2023). Wearable Drone Controller: Machine Learning-Based Hand Gesture Recognition and Vibrotactile Feedback. Sensors, 23.10.3390/s23052666 ↗
14. Lawrence, I.D., and Pavitra, A.R.R. (2024). Voice-controlled drones for smart city applications. Sustainable Innovation for Industry 6.0, IGI Global.
15. Teleoperation of Humanoid Robots: A Survey10.1109/TRO.2023.3236952 ↗
16. The State-of-the-Art of Human–Drone Interaction: A Survey10.1109/ACCESS.2019.2953900 ↗
17. Mixed Interaction: Evaluating User Interactions for Object Manipulations in Virtual Space10.1007/s12193-024-00431-2 ↗
18. Paterson, J., and Aldabbagh, A. (2021, January 11–13). Gesture-controlled robotic arm utilizing opencv. Proceedings of the 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey.10.1109/HORA52670.2021.9461389 ↗
19. Tactile and chemical sensing with haptic feedback for a telepresence explosive ordnance disposal robot10.1109/TRO.2023.3278455 ↗
20. icub3 Avatar System: Enabling Remote Fully Immersive Embodiment of Humanoid Robots10.1126/scirobotics.adh3834 ↗
21. A Whole-Body Integrated AVATAR System: Implementation of Telepresence with Intuitive Control and Immersive Feedback10.1109/MRA.2023.3328512 ↗
22. Di Tecco, A., Camardella, C., Leonardis, D., Loconsole, C., and Frisoli, A. (2024, January 21–23). Virtual Dashboard Design for Grasping Operations in Teleoperation Systems. Proceedings of the 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), London, UK.10.1109/MetroXRAINE62247.2024.10796656 ↗
23. Schwarz, M., Lenz, C., Rochow, A., Schreiber, M., and Behnke, S. (October, January 27). Nimbro Avatar: Interactive Immersive Telepresence with ForceFeedback Telemanipulation. Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic.10.1109/IROS51168.2021.9636191 ↗
24. Galarza, B.R., Ayala, P., Manzano, S., and Garcia, M.V. (2023). Virtual reality teleoperation system for mobile robot manipulation. Robotics, 12.10.3390/robotics12060163 ↗
25. Gorjup, G., Dwivedi, A., Elangovan, N., and Liarokapis, M. (2019, January 3–8). An Intuitive, Affordances Oriented Telemanipulation Framework for a Dual Robot Arm Hand System: On the Execution of Bimanual Tasks. Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China.10.1109/IROS40897.2019.8967782 ↗
26. Zhang, T., McCarthy, Z., Jowl, O., Lee, D., Chen, X., Goldberg, K., and Abbeel, P. (2018, January 21–25). Deep imitation learning for complex manipulation tasks from virtual reality teleoperation. Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia.10.1109/ICRA.2018.8461249 ↗
27. Planning and Control for Collision-Free Cooperative Aerial Transportation10.1109/TASE.2016.2605707 ↗
28. Cooperative Transportation of a Flexible Payload Using Two Quadrotors10.2514/1.G005914 ↗
29. Cooperative Transportation using Small Quadrotors using Monocular Vision and Inertial Sensing10.1109/LRA.2017.2778018 ↗
30. Turco, E., Castellani, C., Bo, V., Pacchierotti, C., Prattichizzo, D., and Lisini Baldi, T. (2024, January 14–18). Reducing Cognitive Load in Teleoperating Swarms of Robots through a Data-Driven Shared Control Approach. Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates.10.1109/IROS58592.2024.10802645 ↗
31. Enhancing Scientific Exploration of the Deep Sea through Shared Autonomy in Remote Manipulation10.1126/scirobotics.adi5227 ↗