Improving Skills and Perception in Robot Navigation by an Augmented Virtuality Assistance System

Sanguino, T. J. Mateo; Andújar, José Manuel; Carlson, Tom; Millán, José del R.

doi:10.1007/s10846-014-0038-5

Cited by 11 publications

(2 citation statements)

References 21 publications

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“…In [54], a visualisation interface based on AR was presented to enhance the 3D scene by integrating vision information with laser data. For the purpose of enhancing the perception capabilities of the remote operation environment, an augmented virtuality (AV) method was proposed in [55], where AV is the derivative method of AR. Compared to VE methods, AR methods enable the human operator to interact with virtual objectives to provide a better experience in applications such as assembly and maintenance.…”

Section: Key Technologies and Challengesmentioning

confidence: 99%

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Luo

Yang

2020

Cognitive Computation and Systems

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Teleoperation provides a promising way for human-robot collaboration in the unknown or unstructured environments to perform a cooperative task. It enables humans to complete a task at a remote side and combines both the human's intelligence and the robots' capabilities in a collaborative task. Therefore, it is necessary to conduct cross researches in terms of robotics, artificial intelligence, sensors, and mechatronics. This study covers the state-of-the-arts research in terms of perception, control, and learning. In this review, key technologies about information perception mechanism, control algorithms, human-robot interface, and robot learning strategies for teleoperation are introduced. Then, a comprehensive survey is summarised in representative applications in teleoperation, and the existing challenges and potential directions of the development are discussed.

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Section: Key Technologies and Challengesmentioning

confidence: 99%

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Luo

Yang

2020

Cognitive Computation and Systems

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“…AV is successfully used in navigation support systems for telepresence, most often in the field of aviation to control unmanned aerial vehicles [29] or in robotics for the remote control of semi-autonomous vehicles [30].…”

Section: Introductionmentioning

confidence: 99%

A Method of Navigational Information Display Using Augmented Virtuality

Gralak

2020

JMSE

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The preliminary research experiments described herein were aimed to choose an appropriate mixed reality technology for the construction of navigational information display method to be used onboard ships in restricted waters. The method assumes a possibly faithful representation of the environment and the actual navigational situation on a spatial decision support system (SDSS) interface during ship navigation and maneuvering in restricted waters. The paper also presents the architecture and process of building a SDSS, where the method of navigational information display using augmented virtuality was applied.

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Systematic Literature Review on the User Evaluation of Teleoperation Interfaces for Professional Service Robots

Sankar

Djamasbi

et al. 2023

Lecture Notes in Computer Science

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Improving Skills and Perception in Robot Navigation by an Augmented Virtuality Assistance System

Cited by 11 publications

References 21 publications

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

A Method of Navigational Information Display Using Augmented Virtuality

Systematic Literature Review on the User Evaluation of Teleoperation Interfaces for Professional Service Robots

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