Immersive ROS-integrated framework for robot teleoperation

Peppoloni, Lorenzo; Brizzi, Filippo; Avizzano, Carlo Alberto; Ruffaldi, Emanuele

doi:10.1109/3dui.2015.7131758

Cited by 56 publications

(21 citation statements)

References 7 publications

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“…D.Bassily et al [16] developed a human-machine communication interface between Leap Motion and a 6-DOFs robotic arm. Lorenzo et al [17] proposed a ROS integrated interface for remote control a robot through the operator's hands motion.…”

Section: Introductionmentioning

confidence: 99%

Robot Teleoperation System Based on Mixed Reality

Liang

Liu

et al. 2019

2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)

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Section: Introductionmentioning

confidence: 99%

Robot Teleoperation System Based on Mixed Reality

Liang

Liu

et al. 2019

2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)

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“…Tracking has continued to be a focused research topic over recent years. The development of natural interfaces for human-robot interaction provides the user an intuitive way to control and guide robots (Peppoloni et al 2015). Realtime magnetic motion-tracking system using multiple identifiable, tiny, lightweight, wireless and occlusion-free markers can achieve reliable tracking with reasonable speed .…”

Section: Technicalmentioning

confidence: 99%

Interface of mixed reality: from the past to the future

Chen

Duh

2019

CCF Trans. Pervasive Comp. Interact.

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Mixed reality (MR) is an emerging technology which could potentially shape the future of our everyday lives by its unique approach to presenting information. Technology is changing rapidly and information can be presented on traditional computer screens following a WIMP (Windows, Icons, Menus, and Pointing) interface model, by using a head-mounted display to present virtual reality, or by MR which the process of presenting information through a combination of both virtual and physical elements. This paper classifies MR interfaces by applying a text mining method to a data base of 4296 relevant research papers published over the last two decades. The classification reveals the trends relating to each topic and the relations between them. This paper reviews the earlier studies and discusses the recent developments in each topic area and summarizes the advantages and disadvantages of the MR interface. Our objective is to assist researchers understand the trend for each topic and allows them to focus on the research challenges where technological advancements in the MR interface are most needed.

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“…Robot Operating System (ROS) 18,19 is an open source operating system developed in the US. Like general operating systems, ROS provides hardware abstraction, low level device control, and API.…”

Section: Robot Platformmentioning

confidence: 99%

Robot Software Platform for IoT-Based Context-Awareness

Cho

Choi

et al. 2017

Int. J. Human. Robot.

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As Internet of Things (IoT)-based sensors have emerged recently, new technologies are being developed for users to provide suitable services by recognizing the surrounding situations. In the service robot sector, many researches are being carried out in order to exploit the collected data from IoT-based sensors. In addition, researches on robot middleware using context information are actively performed.In this paper, we propose a robot SW platform, which provides IoT-based context-aware services. This robot software platform consists of Ontology Agent, Robot Service Execution Engine, and Context Handler. The Ontology Agent is a module that searches information, such as sensor location, value type, etc., of the IoT devices stored in Ontology Repository and provides them to the Context Handler. The Context Handler reads IoT devices' data and checks whether service transition conditions are met. If the conditions are satis¯ed, the data is delivered to the Robot Service Execution Engine, which is in charge of executing services. In experiments, we show a procedure executing the context-aware robot services through de¯nition of robot services, a robot service execution engine, and a context handler, etc.

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Immersive ROS-integrated framework for robot teleoperation

Cited by 56 publications

References 7 publications

Robot Teleoperation System Based on Mixed Reality

Robot Teleoperation System Based on Mixed Reality

Interface of mixed reality: from the past to the future

Robot Software Platform for IoT-Based Context-Awareness

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