Projects

Projects are categorised by funding model and listed in reverse chronological order.

EU Projects

  • RockEU2 - euRathlon (Horizon 2020) builds on and extends the successful community integration that lead to the creation of euRobotics aisbl. RockEU2 aims to intensifying cooperation (e.g. for joint calls) including policy makers and end-users as key enablers in the R&D&I process that contribute to the outreach and innovation themes. Outreach to the cognitive science community is another key part of this proposal, targeting more innovative robotics products and applications. Robot competitions are used to foster research and innovation and to improve public awareness of European robotics.
  • ReBorn (FP7) aims at demonstrating strategies and technologies that support a new paradigm for the re-use of production equipment in factories.
  • euRathlon (FP7, Horizon 2020), an outdoor robotics competition which invites teams to test the intelligence and autonomy of their robots in realistic mock emergency-response scenarios. Watch the video of the euRathlon 2015 challenge.
  • Network of excellence: European Robotics Research Network (EURON) (FP6) is a community of more than 230 academic and industrial groups in Europe. Since the foundation of the euRobotics aisbl, EURON and its industrial sister network EUROP have been merging their activities and organisations.
  • Minotaurus, human-machine interaction in intelligent sensor network (EU Regional Development Fund ERDF; 01.2009 – 12.2012), has as a goal to create natural communication between the human and the machine by exploiting an intelligent sensor network to support the operation of humans and robots. Minotaurus is a joint project between the Biomimetics and Intelligent Systems Group (BISG) and the Center for Machine Vision Research, founding upon the research done in the area at BISG since the early 2000's, studied also with the support Academy of Finland.
  • XPRESS (fleXible PRoduction Experts for reconfigurable aSSembly technology), means in practice production lines that can be flexibly configured for manufacturing different goods. The project had following strategic objectives: 1) To establish a breakthrough for the factory of the future with a new flexible assembly and manufacturing concept based on the generic idea of "Manufactron" integrated in cross-sectoral learning networks for a customised production and a flexible system organisation. This knowledge based concept integrates the complete process chain from the production planning to the assembly and finally the quality assurance of the produced/assembled products and the reusability. 2) To meet the challenges of future intelligent manufacturing concepts to integrate intelligence and flexibility not only at the "highest" level of the production control system but also at the shop floor level.3) Demonstrate the feasibility in 3 representative applications (automotive, aeronautics, electrical industry). A total number of 19 different universities and enterprises throughout Europe participate the project, including Airbus, Harms&Wende (project coordinator) and universities from Germany, Poland and Finland.
  • ROBOSWARM (Knowledge Environment for Interacting ROBOt SWARMs) 11.2006 – 04.2009. The general objective of the project is to develop an open knowledge environment for self-configurable, low cost and robust robot swarms useable in everyday applications. Advances in the state-of-the-art of networked robotics are proposed through introduction of a local and global knowledge base for ad hoc communication within a low-cost swarm of autonomous robots operating in the surrounding smart IT infrastructure. See also the CORDIS project page.
  • SIOUX (Intelligent system for dynamic online quality control of spot welding processes for cross-sectoral applications) (FP6; 10.2002 – 10.2004) is a two year EU-project that aims at developing advanced and intelligent control methods for industrial resistance spot welding quality control. Resistance spot welding is used to join two metal sheets together, for example in the automobile industry and in Europe alone more than 100 million spot welding joints are made daily. The quality of the welding joints can be monitored for example using destructive or ultrasound testing. These type of methods are relatively expensive or difficult to implement. In SIOUX a real time system based on soft computing methods combined with an active process control of resistance spot welding is being developed. The aim of the system is to replace the time and cost intensive destructive tests by using computational quality estimation without additional sensors. At the Intelligent Systems Group we are building a dynamic database containing measurements from welding tests and developing data mining methods for analyzing the measurement data to achieve better welding quality. The system is an application example of one of our research topics smart archive. Smart archive is a system combining expertise in databases and data mining methods. The aim of it is to implement and bring this know-how to processes demanding adaptive, continuous and largely autonomous supervision.

Tekes International Projects

  • SOCRATE (Exploiting Social Structure for Cooperative Mobile Networking) is a joint project between Finnish and US partners under the WiFiUS programme and involving Arizona State University, University of Nevada, VTT and Aalto University. The scope of the project is to develop solutions for optimising mobile communication networks exploiting the social structure, social interests and social relationship among mobile users. Research activities at BISG include privacy enforcement.
  • GlobalRF (Global RF Spectrum Opportunity Assessment) is a collaboration project between Finland and USA for innovating in the area of wireless communication under the WiFiUS programme. In the project a fundamental radio frequency spectrum shortage problem is tackled by developing methods for understanding the current and evolving use of the spectrum in various environments. In BISG the study consists of a combination of the spectrum data with open data available to discover different correlations and hidden variables explaining frequency band use. Moreover, the research in the area includes the visualization of the observations as well as building predictive models for spectrum use.
  • €-Confidential (09.2006 - 03.2009). The Oulu University Secure Programming Group takes part in the large ITEA project €-Confidential. The idea of the project is to define and develop a safe and trustworthy security platform for multiple kinds of applications, such as e-commerce, e-bank and e-government. There are altogether 20 participants from different European research institutions and enterprises. OUSPG is responsible for the security vulnerability and dependency analysis of the designed platform. The Finnish participants are funded by Tekes.
  • VALTA (VALssauksen TArkentaminen; 01.2002 - 02.2004) is a large, co-operative with Rautaruukki Oyj, AvestaPolarit Stainless Oy and Imatra Steel Oy Ab, the largest steel manufacturers in Finland. The aim of the project is to improve the competitiveness of Finnish steel industry by increasing quality and delivery reliability of steel products. The aim is to be achieved by improving the control of the rolling process. Modelling and discovering the relationships between causes and consequences is the main contribution of the project. The project is funded also by Tekes. Our research group attends on three sub-projects: The influence of heating on rolling, surface quality, and the homogeneity of mechanical properties. In all of these sub-projects we are in close co-operation with Rautaruukki. In the research we utilise our knowledge about data mining, knowledge discovery, soft computing, data pre-processing, and statistical models. In the project we are researching also data pre-processing methods. See also Tekes report.

Academy of Finland International Project

  • INCA: The project goal was to develop an interactive and context-aware feedback and control system for rationalizing energy efficient living. The system itself collects personalized data from the environment and offers information about consumption habits for the individuals. With the help of the information, it is possible to advise people on more energy efficient living and to give recommendations for avoiding unnecessary energy consumption. The research in the INCA project was performed jointly with Associate Professor Kaori Fujinami from the Tokyo University of Agriculture and Technology (TUAT).

Tekes National Projects

  • Cyber Trust. People are more and more dependent on networks, electricity and data processing while our infrastructure is becoming more dependent on unpredictable risks. Cyber Trust Program creates a foundation for Finnish research and industry to address the needs emerging in the cyber security domain. The main research objective of the Cyber Trust program is to improve the privacy, trust and decision making in digital infrastructure by monitoring, analysing, virtualizing, and visualizing traffic, objects and events. The program utilizes the strong expertise, extensive knowledge and solid cooperation model in public-private sectors. The consortium consists of 19 companies, and 8 research institutes and universities. The three-year program of Digile (2015-2017) is partly funded by Tekes. In Cyber Trust Program, the cyber security is approached with the following themes: secure services, securing platforms and networks, and advanced threats and security assurance.
  • SIMP. In the SIMP-Project (System Integrated Metal Processes) the aim is to develop plant wide quality control tools for steel making processes. The predictive models will be integrated to a on-line monitoring system showing the status of a quality level in hot rolling and providing decision support for process management. See also the project page on CASR site.
  • MOPO (EAKR). MOPO project aimed to enhance the well-being and health of young men in northern Finland. The project was initiated as a consequence of the concern of marginalization of young men in the area. In the project, knowledge and theories from exercise science, health sciences, cultural anthropology, information science and engineering are combined. BISG’s responsibilities in the project included developing activity recognition methods for mobile devices and implementing a mobile service for the study participants.
  • PROB2E. In the prob2E-project (Probability Predictions to Production Efficiency) a probability prediction approach was used to develop and utilize statistical models in process optimization and quality improvement, and the benefits that industry can achieve by employing distributional prediction instead of point prediction were validated. See also the project page on CASR site.
  • SAMURAI (Smart Archive: Management, Utilization and stoRAge of continuously measured Information) 11.2006 – 02.2008. Smart Archive is an application framework designed for creating continuously operating data mining applications. In this project the application independent part of Smart Archive was developed further and two applications, one for Polar Electro and one for Rautaruukki, were created using the framework.
  • Hi-TechSteel (01.1999 – 12.2002) is a large-scale project, funded by Tekes, and it consists of many subprojects. Our group confines to the data mining subproject, which goal is to survey the state of the art of the data mining globally as well as implement advanced data mining techniques in practice based on this knowledge. New techniques are under study too. This subproject supports Hi-Tech Steel project giving proven techniques and problem solving suggestions to other subprojects. The data mining subproject contains three closely related workflows: data preprocessing for data mining study, roller campaign information study and furnace control data study.
  • The Impress project develops signal processing methods based on neural and adaptive computing for applications in telecommunication and medical measurement. The research is divided into two main areas where the goals are to find methods for self management of health and the quality of life and to develop new adaptive filtering methods to improve the quality of speech signals in digital audio devices.
  • PROTOS (Security Testing of Protocol Implementations) 1999-2001, in partnership with VTT Electronics. Publications and test suites.
  • FRONTIER-COMPAT (inferring causal relationships in complex systems).  The FRONTIER-COMPAT project develops methods for inferring causal relationships in distributed systems.
  • Adaptive And Intelligent Systems Applications. This project aims to develop signal processing methods based on neural computing as well as VLSI architectures for their implementation. The possible applications include a third-generation mobile phone system and a new type of heart rate monitor. The research has been done in three main areas: development of methods for classification and synchronisation and design of basic structures for CMOS realisation of a neuron.
  • CRS (3D color range scanner). In mobile robotics, the ability to acquire three-dimensional information from an environment and to have color information about surrounding objects makes the robot vision system more suitable for complex tasks, such as environment modeling and object recognition. We have developed a low-cost and easy to reconfigure 3-D color-range scanner - CRS, which is able to capture the geometry and color of the measured object. The CRS utilizes a scanning laser sheet and the triangulation principle to acquire the geometry of the measured object. To maximize portability the CRS is connected to the RS-232 port of the host computer and can be easily controlled by using simple ASCII commands.

Academy of Finland National Projects

  • Situation Awareness in Information and Cyber Security (SAICS) project (01.07.2014 – 30.06.2016) focuses on the information security analysis, testing, metrics, management, and situation awareness of the critical computer networks and infrastructure. The purpose is to develop beyond state-of-the-art situation awareness mechanisms to enable informed security decision making. These novel mechanisms enable one to select effective and efficient countermeasures, to protect the system from varying threats and attacks in an increased way. The study takes into account the national strategic cyber-policy, resulting legislation and its suitability to improve situational awareness and security, while still maintaining civil rights such as privacy at proper level. The scientific challenge of the project is to develop a novel proactive risk-based cyber security model, enabling effective and efficient utilization of situation awareness information to support the business continuity and operations of the whole society.
  • MOVE is an Academy of Finland funded project for postdoctoral research of Doctor Heli Koskimäki. In the project, the research concentrates on human behavior recognition based on activity chains. The work is based on wearable sensors including accelerometers, magnetometers, and GPS radios that can be used to monitor and classify human activities. The research aims at providing solutions suitable for real environments by minimizing the needed memory capacity and computational power.
  • Evolutionary active materials (Academy of Finland), is a joint effort with the Microelectronics and Materials Physics Laboratories. At BISG, the focus is on mobile robotics and in particular on global indoor pose estimation techniques utilizing the ambient magnetic field and its anomalies arising from both natural and man-made sources, such as steel and reinforced concrete structures, electric power systems, electric and electronic appliances, and industrial devices.

MATINE Projects

  • PROTOS-MATINE, whose goal is dependency analysis methodology that can be summarized as follows: find critical dependencies by analysing critical systems; utilize all available information sources in a socio-technical approach (written sources as well as expert interviews); utilize information sources at all organizational levels; graphically visualize findings for analysis.

Industry Funded Projects

Other Projects

  • LABROBOT (2016-2019) utilises the ICT know-how and digitalization in the food industry by combining expertise from University of Oulu and Natural Resources Institute Finland (LUKE).
  • OuluZone. Test infrastructure for autonomous vehicles (ground and aerial) for evaluation and comparison of sensors and algorithms.
  • The PROTOS Genome project (2004 – 2007) approaches the problem of complexity by developing tools and techniques for reverse-engineering and identification of protocols based using protocol genes - the basic building blocks of protocols. The approach is to use techniques developed for bioinformatics and artificial intelligence. Samples of protocols and file formats are used to infer structure from the data. This structural information can then be used to effectively create large numbers of test cases for this protocol. See publications and test suites.
  • FRONTIER-RIDAC. Frontier RIDAC is an Open Source RFID Audit Framework released to the community by OUSPG.
  • ROSEMAN (RObots SErving huMANs). In ROSEMAN project components were developed for intelligent mobile robots which operate with humans in every day environments. The research had emphasis on the following areas: machine vision, control systems and learning, and teleoperation.
  • Classification Of Melanocytic Lesion With Machine Vision.
  • Psoriasis Area Assessment With Machine Vision.
  • RoboCup (Experiments on Reactive Control Architecture) 01.1996–12.1998. We developed the Samba control architecture for mobile robots operating in dynamic environments and cooperating with other agents (robots and humans). The main characteristics of the Samba architecture are that it is reactive and capable of executing tasks in parallel. The architecture contains also an interface to higher level system reasoning tasks. From the capability to execute tasks in parallel follows, task execution and fast reactions to unexpected events can be integrated in a seamless fashion. At RoboCup-97 in Nagoya, Japan we finished among the best 16 from the 30 participating teams. At RoboCup-98 in Paris, France  we finished among the best 8 from the 30 participating teams. These results show that the Samba architecture is a potential alternative for controlling mobile robots in dynamic environments. Our Samba team has not competed since RoboCup-98, but it was one of the qualifying opponents for the RoboCup-99 in Stockholm. Our student team participated with their own team in RoboCup-99 and in RoboCup-00 in Melbourne.

Last updated: 22.9.2017