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Ericson A.,Lulea University of Technology | Holmqvist J.,Lulea University of Technology | Wenngren J.,Lulea University of Technology | Kaartinen H.,Centria Research and Development | Solvang W.D.,Arctic University of Norway
2016 International Symposium on Small-Scale Intelligent Manufacturing Systems, SIMS 2016 | Year: 2016

Regional research project are, as is also regional industry, highly need-based. That is, understanding the stakeholders' (or customers') real challenges and related needs is important. This study is based on interviews with SMEs in the Northern parts of Finland, Norway and Sweden, but also on available innovation agendas and strategies for each country. The differences among the companies in those regions bring forward distinct needs, while many experience similar challenges, for example low population density, long distances and a high dependency on basic industries. Innovation is identified as a key driver of regional growth and competitiveness. SMEs rarely employ the term innovation to describe their activities, but rather stress 'knowing the customer' as important. This indicates one of the challenges to implement innovation strategy as a driver for growth and competitiveness. © 2016 IEEE.

Jamsa J.,Centria Research and Development | Pieska S.,Centria Research and Development | Luimula M.,Turku University of Applied Sciences | Siio I.,Ochanomizu University | Komatsuzaki M.,Ochanomizu University
3rd IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2012 - Proceedings | Year: 2012

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. © 2012 IEEE.

Komatsuzaki M.,Nissan Motor Co. | Tsukada K.,Ochanomizu University | Siio I.,Ochanomizu University | Verronen P.,Centria Research and Development | And 2 more authors.
UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing | Year: 2011

We propose a novel search technique called IteMinder that helps users find property in a room using passive RFID and an autonomous robot. First, we attach RFID tags to the target items and at typical locations in a room. We also attach an RFID reader and a laser rangefinder to the robot. The robot can move around the entire room automatically while avoiding obstacles using the laser rangefinder. When the robot finds a tagged item, it uploads the tag ID and location information to the database. Users can then browse target items and their locations on a common web browser. © 2011 Authors.

Pieska S.,Centria Research and Development | Pieskaa J.,Centria Research and Development | Saukko O.,Centria Research and Development
3rd IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2012 - Proceedings | Year: 2012

The capability to use advanced tools, devices, and software is essential for enterprises to survive in global competition. Inter-cognitive communication is an important element in the development of engineering applications where natural and artificial cognitive systems should work together efficiently. Small and medium-sized enterprises (SMEs) are becoming increasingly important in society, as our economies depend heavily on SMEs, which represent the majority of jobs created. Global competition has forced these SMEs to change and develop their production systems radically, to be more flexible. Industrial robots are seen as a key element in flexible manufacturing systems. However, currently, industrial robots are not commonly used in SMEs; one reason is the complex handling, especially the time-consuming programming. Industrial robot systems usually lack simple user interfaces, and the programming is usually carried out by the typical teach pendant teaching method. This method is a tedious and time-consuming task that requires a remarkable amount of expertise. In industry, this type of robot programming can be justified economically only for the production of large lot sizes, which are not typical for SMEs. Therefore, new approaches to human-robot interaction are required. Cognitive infocommunication can play a key role in these applications. Accordingly, our main goal in this paper is to present experiences in developing easier human-robot interaction to help even inexperienced operators use robots in SMEs. These examples show a variety of ways that inter-cognitive communication between human and artificial cognitive systems can be utilized in robotics. We also present our system and software architecture used in the development of generic industrial robot programming for easy-to-use applications, as well as some examples of our service robot development. Service robotics offers numerous possibilities to utilize cognitive infocommunication, but development of reliable and flexible solutions is challenging, due to dynamic environments, and because inexperienced users often understand very little about the robots and their internal states. © 2012 IEEE.

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