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Dive into the research topics where Tapio Salonen is active.

Publication


Featured researches published by Tapio Salonen.


International Precision Assembly Seminar | 2008

Integration of Design and Assembly Using Augmented Reality

Juha Sääski; Tapio Salonen; Mika Hakkarainen; Sanni Siltanen; Charles Woodward; Juhani Lempiäinen

This paper presents a methodology and a system for augmented reality aided assembly work. We concentrate in particular on the requirements on information processing and data flow for implementing augmented assembly systems in real life production environments. A pilot case with an augmented assembly task at the Finnish tractor company Valtra is described.


conference on image and video retrieval | 2007

Demonstration of assembly work using augmented reality

Tapio Salonen; Juha Sääski; Mika Hakkarainen; Manolis Perakakis; Sanni Siltanen; Alexandros Potamianos; Otto Korkalo; Charles Woodward

In this paper, we describe the demonstration system in which a wooden 3D puzzle is assembled using an augmented reality system. The 3D puzzle emulated a simplified assembly task in a factory. We use the 3D puzzle as a means to study how to implement an augmented assembly system to a real setting in a factory and explore the advantages and disadvantages of augmented reality techniques. With this demonstration system we also test, demonstrate and evaluate different input modalities for augmented assembly setup. Furthermore, the demonstration system helps us better interact with industry and get invaluable feedback.


ieee international symposium on assembly and manufacturing | 2011

Ambient Intelligence based monitoring and energy efficiency optimisation system

Juhani Heilala; Krzysztof Klobut; Tapio Salonen; Pekka Siltanen; Reino Ruusu; Ljubisa Urosevic; Philip Reimer; Alberto Armijo; Mikel Sorli; Tomaz Fatur; Ziga Gantar; Andreas Jung

The European research project AmI-MoSES is focused on developing energy efficiency enhancement service solutions for SME manufacturing companies. The planned service concept is based on Industrial Ambient Intelligence (AmI) Reference Architecture and Energy Key Performance Indicators in the form of Energy Use Parameters (EUP). EUP indicators are based on monitored energy consumption data (ECD), other measured data and related energy use context data showing in detail how energy was used. AmI-MoSES project focuses on enabling manufacturing SMEs to efficiently and promptly (online) acquire/provide information/knowledge needed for optimisation of energy consumption. It also aims to assist in effective use of such knowledge to support decisions regarding Life-Cycle oriented Energy Use Management, applying the energy efficiency services. This paper provides theoretical background to RTD practitioners who would like to apply AmI-MoSES approaches in future energy efficiency optimisation activities. The topics comprise Energy Consumption Data (ECD) and Ambient Intelligence (AmI) Monitoring, Energy Use Parameters (EUP) Monitoring and Advisory and context modelling for turning EUPs into knowledge assets.


Archive | 2011

Challenges in Data Management in Product Life Cycle Engineering

Tommaso Fasoli; Sergio Terzi; Erkki Jantunen; Juha M. Kortelainen; Juha Sääski; Tapio Salonen

It is expected that the capability of managing the complete product life cycle in its phases will give the necessary boost for European Manufacturing Industry. Many efforts have been put into the creation of product lifecycle management systems, but it would seem that there is a gap between the existing reality and the specification of expected features. The article addresses this subject from critical point of view and tries to pinpoint the weaknesses of the existing solutions such as standards and database solutions. This work also tries to show the possible ways to follow that could help in solving the problems.


multimedia signal processing | 2007

Multimodal User Interface for Augmented Assembly

Sanni Siltanen; Mika Hakkarainen; Otto Korkalo; Tapio Salonen; Juha Sääski; Charles Woodward; Manolis Perakakis; Alexandros Potamianos

In this paper, a multimodal system for augmented reality aided assembly work is designed and implemented. The multimodal interface allows for speech and gestural input. The system emulates a simplified assembly task in a factory. A 3D puzzle is used to study how to implement the augmented assembly system to a real setting in a factory. The system is used as a demonstrator and as a test-bed to evaluate different input modalities for augmented assembly setups. Preliminary system evaluation results are presented, the user experience is discussed, and some directions for future work are given.


Archive | 2008

Dynamic and Visual Assembly Instruction for Configurable Products Using Augmented Reality Techniques

Tapio Salonen; Juha Sääski

In this research, an augmented reality based system is suggested to enhance assembly tasks. In this system, a worker can see the additional graphical information superimposed on the real world scenes. Graphical instructions and virtual objects are used for advising the worker with the assembly tasks. Assembly is the capstone process in manufacturing. Generally, assembly has been performed by people, and their smartness and flexibility have compensated possible deficiencies in assembly process design.


ASME-AFM 2009 World Conference on Innovative Virtual Reality | 2009

DATA PIPELINE FROM CAD TO AR BASED ASSEMBLY INSTRUCTIONS

Tapio Salonen; Juha Sääski; Charles Woodward; Otto Korkalo; Ilari Marstio; Kari Rainio

One of the main challenges of introducing Augmented Reality technology into industrial applications is fast, reliable, low-cost authoring of animated AR content of product data created in 3D CAD systems. In this paper we present a product data information pipeline from industry used commercial CAD systems to a marker-based augmented reality system. The pipeline utilizes ISO 10303 (STEP) data protocol, DFA-Tool (Design For Assembly), and VTT’s proprietary content creation and augmenting software. The pipeline is verified with a real industrial application.


Archive | 2005

Integration of CAD, CAM and NC with Step-NC

Juha Sääski; Tapio Salonen; Jukka Paro


Archive | 2015

Production planning and control in Finnish manufacturing companies Current state and challenges

Eila Järvenpää; Minna Lanz; Henri Tokola; Tapio Salonen; Mikko Koho


DS 50: Proceedings of NordDesign 2008 Conference, Tallinn, Estonia, 21.-23.08.2008 | 2008

Augmented Reality Efficiency in Manufacturing Industry:A Case Study

Juha Sääski; Tapio Salonen; Marja Liinasuo; Jarkko Pakkanen; Mikko Vanhatalo; Asko Riitahuhta

Collaboration


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Juha Sääski

VTT Technical Research Centre of Finland

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Charles Woodward

VTT Technical Research Centre of Finland

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Mikko Koho

VTT Technical Research Centre of Finland

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Minna Lanz

Tampere University of Technology

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Mika Hakkarainen

VTT Technical Research Centre of Finland

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Otto Korkalo

VTT Technical Research Centre of Finland

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Sanni Siltanen

VTT Technical Research Centre of Finland

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Asko Riitahuhta

Tampere University of Technology

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Eeva Järvenpää

Tampere University of Technology

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