Remote navigation of a mobile robot in an RFID-augmented environment

Luimula, Mika; Sääskilahti, Kirsti; Partala, Timo; Pieskä, Sakari; Alaspää, Juha

doi:10.1007/s00779-009-0238-3

Cited by 22 publications

(9 citation statements)

References 15 publications

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“…The platform is a client-server solution where data collection, transmission and communication happen in real time over GPRS/3G [14]. The Locawe platform has been evaluated during the design process in various field experiments [12,13]. These experiments have given valuable information not only about human-computer interaction (HCI) but also about how Locawe works with newly-developed features from a technological point of view.…”

Section: Platform and Wireless Sensor Networkmentioning

confidence: 99%

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Collecting and visualizing wireless geosensor data using mobile devices

Sääskilahti

Kangaskorte

Luimula

et al. 2010

Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research &Amp; Application

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Monitoring the state of the environment has traditionally based on remote monitoring systems maintained by official organizations and institutions. A development of mobile and ubiquitous computing opens new possibilities to collect geosensor data directly from user's environment as in situ measurements. In the current paper, we describe a geosensor network (GSN) solution between mobile devices and wireless geosensor nodes based on usability criteria. The results showed that it is possible to create in situ measurements which are reliable and robust enough even in extreme conditions such as low temperatures with ice and snow. Users experienced that the developed GSN solution was easy to use and the visualization of the collected data on the small screen of mobile device was evaluated as a level of satisfactory. The amount and speed of feedback about user's actions was found important in this data gathering system. In addition, the overall usability of the system correlated with system feedback. As a result, we suggest that this solution is usable and robust even in extreme winter conditions. The challenge is still in energy consumption which was not in the centre of this research.

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Section: Platform and Wireless Sensor Networkmentioning

confidence: 99%

“…This can be seen as another use case for GSN or as an extension of existing remote monitoring implementations [13]. This implementation has been made on CENTRIA's locationaware system platform called Locawe.…”

Section: Introductionmentioning

confidence: 98%

Collecting and visualizing wireless geosensor data using mobile devices

Sääskilahti

Kangaskorte

Luimula

et al. 2010

Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research &Amp; Application

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“…In the previous cycles we have used different kinds of sensors in Locawe such as GPS, RFID, WiFi and 6LoWPAN [12,14]. With respect to wireless sensor and actuator networks, Locawe has been designed for the use of 6LoWPAN technology.…”

Section: Figure 1 Gsn Pilots and Services As A Latest Test-generate mentioning

confidence: 99%

“…This platform consists of mobile units and servers for services like tracking and communication. It is possible to create user interfaces, which include video, location and identification information on the map or on the floor plan [12].…”

Section: Locawe Platform and Gsn Nodesmentioning

confidence: 99%

In situ measurement of geosensors in low-rate networks

Luimula¹,

Jamsa²,

Verronen³

et al. 2010

Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

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Geographic information system (GIS) is traditionally used with desktop computers. The development of embedded, wireless, and positioning technologies have opened possibilities to apply GIS in new application areas and conditions. In this research area interoperability issues have been regognized to be one of the main challenges of in situ measurements in geosensor network (GSN) when using low-rate communication. We will present in this paper our first experiences about how to use geosensor network nodes and interoperable communication together with our location-aware system platform called Locawe. In the designed system GSN nodes are supporting IPv6 Packets over IEEE 802.15.4 (6LoWPAN) specification and are integrated with a GPS receiver. In addition in the designed system, GSN nodes can be used with mobile devices based on Open Geospatial Consortium (OGC) SensorML standard and Binary XML best practices specification. As a result interoperable communication was tested successfully with two different kinds of mobile devices. On the other hand results show that better compressions are still needed for more efficient communication in low-rate networks.

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“…In the first development phase, we focused on a remote control for a mobile robot [5]. Location-aware technology for mobile transporters was developed and tested both in laboratory pilots and industrial pilots.…”

Section: Location-aware Technology Experiencesmentioning

confidence: 99%

Situation-aware robots and transporters

Jamsa

Pieskä

Luimula

et al. 2012

2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom)

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Inter-cognitive communication plays the key role in the development of engineering applications where natural and artificial cognitive systems should work together efficiently. Situation-awareness is essential in that cooperation. The focus of this study is to report our experiences and applications of situation-aware robots and transporters. Industrial robots are an important part of production in several fields of current industry. Mobile robots and wheeled transporters such as forklift trucks will in the future be key elements in material handling and transporting tasks in production and in warehouses. In addition, robots will also play key roles in wellness services in response to the aging population. Situation-awareness and especially location-awareness is essential in the development of efficient human-robot interaction. In the future, cognitive communication processes between operators and intelligent transporters may benefit from many features developed for intelligent traffic systems. We also present our experiences from the development a of situation-aware traffic system. I.

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Remote navigation of a mobile robot in an RFID-augmented environment

Cited by 22 publications

References 15 publications

Collecting and visualizing wireless geosensor data using mobile devices

Collecting and visualizing wireless geosensor data using mobile devices

In situ measurement of geosensors in low-rate networks

Situation-aware robots and transporters

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