Virtual and Remote Robotic Laboratory: Comparative Experimental Evaluation

Tzafestas, Costas S.; Palaiologou, Nektaria; Alifragis, Manthos

doi:10.1109/te.2006.879255

Cited by 154 publications

(62 citation statements)

References 9 publications

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“…The use of simulator in practical work activities can enhance understanding of the material provided [6]. In addition, the use of simulator for supporting the practical work activities can also provide the same effectiveness with hands-on method [7]- [9]. Previous research has also shown that the use of the simulator is more efficient rather than the use of real laboratory [10], and provide conveniently and high flexibility [11].…”

Section: Organized Bymentioning

confidence: 99%

An online lab for digital electronics course using information technology supports

Muchlas

Novianta

2015

2015 International Conference on Science in Information Technology (ICSITech)

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Section: Organized Bymentioning

confidence: 99%

An online lab for digital electronics course using information technology supports

Muchlas

Novianta

2015

2015 International Conference on Science in Information Technology (ICSITech)

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“…The block size S(k) is chosen accordingly. Thus, the equation for the block round-trip time d(k) is given by setting the buffer size R(k) to 0 in (6) and by replacing T(k) by its definition (5). This finally gives Figure 6 represents a snapshot of the model for the block round-trip time considered when the equivalent buffer R(k) = 0.…”

Section: Operating Conditionmentioning

confidence: 99%

“…Robotic and mechatronic systems are often remotely controlled through the Internet [2][3][4][5] as they exhibit visually observable dynamical behaviors. In addition, comparison between simulation and actual implementation results is an important element of the educational methodology in robotics, mechatronics and control [6]. As a consequence and without loss of generality, this paper focuses on ubiquitous remote experimentation on mechatronics systems in control education.…”

Section: Introduction and Contextmentioning

confidence: 99%

End-to-end adaptation scheme for ubiquitous remote experimentation

Salzmann

Gillet

Müllhaupt

2007

Pers Ubiquit Comput

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Remote experimentation is an effective e-learning paradigm for supporting hands-on education using laboratory equipment at distance. The current trend is to enable remote experimentation in mobile and ubiquitous learning. In such a context, the remote experimentation software should enable effective telemonitoring and teleoperation, no matter the kind of device used to access the equipment. It should also be sufficiently lenient so as to handle the rapidly evolving wireless and mobile communication environment. While the current Internet bandwidth allows remote experimentation to work flawlessly on fixed connections such as LANs, mobile users suffer from both the versatile nature of wireless communications and the limitation of the mobile devices. These conditions impose that the remote experimentation software should integrate adaptation features. For effective ubiquitous remote experimentation, it should ideally be guaranteed that the information representing the state of the remote equipment is rendered (to the end user) at the same pace at which it has been acquired, yet possibly at the cost of a somewhat minimal time delay between the acquisition and rendering phases. In this respect, an end-to-end adaptation scheme is proposed that explicitly handles the inherent variability of the connection and the versatility of the mobile devices considered in ubiquitous remote experimentation. Instead of relying on a stochastic approach, the proposed adaptation scheme relies on a deterministic mass-balance equivalence model. The effectiveness of the proposed adaptation scheme is demonstrated in critical conditions corresponding to remote experimentation carried out using a PDA over a Bluetooth link.

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“…Tzafestas et al describe a remote robotic laboratory featuring an industrial robotic manipulator and a camera accessible via a web-based graphical interface connected to a robot and video Internet server [13].…”

Section: Related Workmentioning

confidence: 99%

Remote Target Monitoring in Embedded Systems Lab Courses using a Sensor Network

Trodhandl

Proske

Elmenreich

2006

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

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-This paper describes an architecture for remote monitoring of a distributed embedded system via Internet. The data at the target system is gathered with a time-triggered sensor network which transmits the measured values to a local target server. The sensor network approach makes the system easily adaptable to different embedded target systems.The sensor network is connected to a target server that communicates via Internet with visualization and programming tools at the monitoring computer. The visualization clients provide a live display of the parameters of the observed system.The target server acts as a gateway between target system and monitoring clients and provides security and authentication features for connecting monitoring clients. One target server is able to serve for multiple target systems.As a case study, the presented system will be used in an embedded systems lab course where students are requested to implement various applications on an embedded target board. Using the remote monitoring feature, a student is able to do the work from his or her home place.

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Virtual and Remote Robotic Laboratory: Comparative Experimental Evaluation

Cited by 154 publications

References 9 publications

An online lab for digital electronics course using information technology supports

An online lab for digital electronics course using information technology supports

End-to-end adaptation scheme for ubiquitous remote experimentation

Remote Target Monitoring in Embedded Systems Lab Courses using a Sensor Network

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