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2023
DOI: 10.1061/jcemd4.coeng-13916
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Embodied Robot Teleoperation Based on High-Fidelity Visual-Haptic Simulator: Pipe-Fitting Example

Tianyu Zhou,
Pengxiang Xia,
Yang Ye
et al.
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Cited by 9 publications
(4 citation statements)
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“…We utilized ROS and Unity game engine to facilitate the RC functions, with Unity specializing in real-time modeling of human motion data and providing a robust platform for developing immersive and intuitive VR working spaces for operators. Haptic device control data from the human operator is captured and processed in Unity before being streamed to ROS for real-time robot control, based on our previous works 1 , 3 . The Emika Panda robot is used to as the robotic model in the proposed architecture.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We utilized ROS and Unity game engine to facilitate the RC functions, with Unity specializing in real-time modeling of human motion data and providing a robust platform for developing immersive and intuitive VR working spaces for operators. Haptic device control data from the human operator is captured and processed in Unity before being streamed to ROS for real-time robot control, based on our previous works 1 , 3 . The Emika Panda robot is used to as the robotic model in the proposed architecture.…”
Section: Methodsmentioning
confidence: 99%
“…Robot teleoperation, the technique of controlling robots from a distance, facilitates human interaction with environments that are remote, hazardous, or inaccessible 1 . Through teleoperation, operators can engage in intricate tasks, surpassing the limitations imposed by the spatial separation between human and robot, and thereby, expanding the horizons of applications such as deep-sea exploration, space missions, and hazardous material handling 2 5 .…”
Section: Introductionmentioning
confidence: 99%
“…Robot teleoperation enables human operators to command and control robots in distant, hazardous, or inaccessible environments (Senft et al, 2021 ). This ability expands the range of feasible applications, such as deep-sea exploration, space missions, and hazardous material handling, allowing for complex tasks to be conducted beyond the conventional spatial limitations imposed between the human operator and the robot (Zhou et al, 2023 ). However, the potential of teleoperation is often undermined by operational delays due to physical constraints like signal transmission distances and processing limits, resulting in latency that affects situational awareness, control precision, and task performance (Kluge et al, 2013 ; Wenhao et al, 2017 ; Payra et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…Notably, in the context of industrial robot control interfaces, there exists a noticeable gap that limits human operators' perception of the situation [21]. Current solutions, relying on visual feedback like camera feeds, pose challenges in spatial comprehension, including the assessment of distances between robots and obstacles [22].…”
Section: Introductionmentioning
confidence: 99%