Mixed reality-integrated 3D/2D vision mapping for intuitive teleoperation of mobile manipulator. (October 2022)
- Record Type:
- Journal Article
- Title:
- Mixed reality-integrated 3D/2D vision mapping for intuitive teleoperation of mobile manipulator. (October 2022)
- Main Title:
- Mixed reality-integrated 3D/2D vision mapping for intuitive teleoperation of mobile manipulator
- Authors:
- Su, Yunpeng
Chen, Xiaoqi
Zhou, Tony
Pretty, Christopher
Chase, Geoffrey - Abstract:
- Highlights: This work evaluates the impact of the integrated 3D/2D vision and motion mapping schemes on teleoperation efficiency and user experience in a mixed reality (MR) environment. A significant enhancement in task performance is achieved with the point cloud within an MR environment (MR-3DPC) vision and motion mapping scheme, while minimizing training effort and cognitive workload. The MR-integrated 3D/2D vision and motion mapping schemes of teleoperation reduced overall task completion times by 34% and 17%. It is found using point cloud within an MR environment (MR-3DPC) outperforms displaying stereoscopic vision (MR-3DSV) in MR and can enhance users' stereoscopic perception and task performance. Abstract: Depth cues are crucial to increase user perception and spatial awareness of the remote environment when remotely guiding complex robotic systems. A mixed reality (MR) integrated 3D/2D vision and motion mapping framework for immersive and intuitive telemanipulation of a complex mobile manipulator is presented. The proposed 3D immersive telerobotic schemes provide the users with depth perception through the merging of multiple 3D/2D views of the remote environment via MR subspace. The mobile manipulator platform consists of a 6°-of-freedom (DOF) industrial manipulator, 3D-printed parallel gripper, and mobile base, which can be controlled by non-skilled operators who are physically separated from the robot working space through a velocity-based imitative motion mappingHighlights: This work evaluates the impact of the integrated 3D/2D vision and motion mapping schemes on teleoperation efficiency and user experience in a mixed reality (MR) environment. A significant enhancement in task performance is achieved with the point cloud within an MR environment (MR-3DPC) vision and motion mapping scheme, while minimizing training effort and cognitive workload. The MR-integrated 3D/2D vision and motion mapping schemes of teleoperation reduced overall task completion times by 34% and 17%. It is found using point cloud within an MR environment (MR-3DPC) outperforms displaying stereoscopic vision (MR-3DSV) in MR and can enhance users' stereoscopic perception and task performance. Abstract: Depth cues are crucial to increase user perception and spatial awareness of the remote environment when remotely guiding complex robotic systems. A mixed reality (MR) integrated 3D/2D vision and motion mapping framework for immersive and intuitive telemanipulation of a complex mobile manipulator is presented. The proposed 3D immersive telerobotic schemes provide the users with depth perception through the merging of multiple 3D/2D views of the remote environment via MR subspace. The mobile manipulator platform consists of a 6°-of-freedom (DOF) industrial manipulator, 3D-printed parallel gripper, and mobile base, which can be controlled by non-skilled operators who are physically separated from the robot working space through a velocity-based imitative motion mapping approach. This work evaluates the impact of depth perception and immersion provided by integrated 3D/2D vision and motion mapping schemes on teleoperation efficiency and user experience in an MR environment. In particular, the MR enhanced systems maintain spatial awareness and perceptual salience of the remote scene in 3D, facilitating intuitive mixed reality human-robot interaction (MR-HRI). This study compared two MR-integrated 3D/2D vision and motion mapping schemes against a typical 2D Baseline visual display method through pick-and-place, assembly, and dexterous manufacturing tasks. The MR-integrated 3D/2D vision and motion mapping schemes of teleoperation reduced overall task completion times by 34% and 17%, compared to the MR-2D Baseline, while minimizing training effort and cognitive workload. … (more)
- Is Part Of:
- Robotics and computer-integrated manufacturing. Volume 77(2022)
- Journal:
- Robotics and computer-integrated manufacturing
- Issue:
- Volume 77(2022)
- Issue Display:
- Volume 77, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 77
- Issue:
- 2022
- Issue Sort Value:
- 2022-0077-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10
- Subjects:
- Teleoperation -- Mixed reality -- Vision and motion mapping -- Robotic manipulation
Robots, Industrial -- Periodicals
Computer integrated manufacturing systems -- Periodicals
Robotics -- Periodicals
Robots industriels -- Périodiques
Productique -- Périodiques
Robotique -- Périodiques
670.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07365845 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/robotics-and-computer-integrated-manufacturing/ ↗ - DOI:
- 10.1016/j.rcim.2022.102332 ↗
- Languages:
- English
- ISSNs:
- 0736-5845
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8000.453200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21586.xml