Mixed Reality-Based User Interaction Feedback for a Hand-Controlled Interface Targeted to Robot Teleoperation

被引:7
|
作者
Cancedda, Laura [1 ]
Cannavo, Alberto [1 ]
Garofalo, Giuseppe [1 ]
Lamberti, Fabrizio [1 ]
Montuschi, Paolo [1 ]
Paravati, Gianluca [1 ]
机构
[1] Politecn Torino, Dipartimento Automat & Informat, Corso Duca Abruzzi 24, I-10129 Turin, Italy
关键词
Human-robot interaction; Robot teleoperation; 3D user interface; Mixed reality; Visual feedback; Hand-based control;
D O I
10.1007/978-3-319-60928-7_38
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The continuous progress in the field of robotics and the diffusion of its related application scenarios in today's modern world makes human interaction and communication with robots an aspect of fundamental importance. The development of interfaces based on natural interaction paradigms is getting an increasingly captivating topic in Human-Robot Interaction (HRI), due to their intrinsic capabilities in providing ever more intuitive and effective control modalities. Teleoperation systems require to handle a non-negligible amount of information coming from on-board sensors as well as input devices, thus increasing the workload of remote users. This paper presents the design of a 3D User Interface (3DUI) for the control of teleoperated robotic platforms aimed at increasing the interaction efficiency. A hand gesture driven controller is used as input modality to naturally map the position and gestures of the user's hand to suitable commands for controlling the platform components. The designed interface leverages on mixed reality to provide a visual feedback to the control commands issued by the user. The visualization of the 3DUI is superimposed to the video stream provided by an on-board camera. A user study confirmed that the proposed solution is able to improve the interaction efficiency by significantly reducing the completion time for tasks assigned in a remote reach-and-pick scenario.
引用
收藏
页码:447 / 463
页数:17
相关论文
共 50 条
  • [31] A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning
    Jiang, Xinkai
    Mattes, Paul
    Jia, Xiaogang
    Schreiber, Nicolas
    Neumann, Gerhard
    Lioutikov, Rudolf
    [J]. PROCEEDINGS OF THE 2024 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2024, 2024, : 333 - 342
  • [32] An augmented reality-based training system with a natural user interface for manual milling operations
    Chih-Kai Yang
    Yu-Hsi Chen
    Tung-Jui Chuang
    Kalpana Shankhwar
    Shana Smith
    [J]. Virtual Reality, 2020, 24 : 527 - 539
  • [33] Predicting Hand-Object Interaction for Improved Haptic Feedback in Mixed Reality
    Salvato, M.
    Heravi, Negin
    Okamura, Allison M.
    Bohg, Jeannette
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 3851 - 3857
  • [34] An augmented reality-based training system with a natural user interface for manual milling operations
    Yang, Chih-Kai
    Chen, Yu-Hsi
    Chuang, Tung-Jui
    Shankhwar, Kalpana
    Smith, Shana
    [J]. VIRTUAL REALITY, 2020, 24 (03) : 527 - 539
  • [35] DEVELOPMENT OF A MIXED REALITY BASED INTERFACE FOR HUMAN ROBOT INTERACIOTN
    Cousins, Matthew
    Yang, Chenguang
    Chen, Junshen
    He, Wei
    Ju, Zhaojie
    [J]. PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1, 2017, : 27 - 34
  • [36] A 3-D vision-based man-machine interface for hand-controlled telerobot
    Al-Mouhamed, MA
    Toker, O
    Al-Harthy, A
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2005, 52 (01) : 306 - 319
  • [37] Finite element analysis results visualization of manual metal arc welding using an interactive mixed reality-based user interface
    Shankhwar, Kalpana
    Smith, Shana
    [J]. JOURNAL OF MANUFACTURING PROCESSES, 2023, 93 : 153 - 161
  • [38] Effect of a mixed reality-based intervention on arm, hand, and finger function on chronic stroke
    Colomer, Carolina
    Llorens, Roberto
    Noe, Enrique
    Alcaniz, Mariano
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2016, 13
  • [39] Augmented reality-based robot teleoperation system using RGB-D imaging and attitude teaching device
    Pan, Yong
    Chen, Chengjun
    Li, Dongnian
    Zhao, Zhengxu
    Hong, Jun
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2021, 71
  • [40] Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions
    Feith, Nikolaus
    Rueckert, Elmar
    [J]. 2024 21ST INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS, UR 2024, 2024, : 21 - 26