Biomimetiikka ja älykkäät järjestelmät

Biomimetiikka ja älykkäät järjestelmät (BISG) -tutkimusyksikkö tekee kansainvälisesti tunnustettua monitieteistä tutkimusta data-analyysin, robotiikan, turvallisen ohjelmoinnin ja bio-IT:n aloilla. Tutkimuksemme sovellusalueita ovat teollisuuden valmistusprosessien optimointi, teollisuus 4.0, terveys- ja hyvinvointijärjestelmät, ympäristön seuranta mobiiliroboteilla, luotettava esineiden internet (Internet of Things, IoT) sekä saumattomat keinotekois-luonnolliset järjestelmät.

Tutkimusryhmän tiedot

Yksikkö ja tiedekunta

Konenäön ja signaalianalyysin tutkimuskeskus

Tieto- ja sähkötekniikan tiedekunta

Yhteystiedot

Tutkimusryhmän vetäjä

Yliopistonlehtori

Satu Tamminen

Tutkimusryhmän kuvaus

BISG on aktiivinen seuraavissa tutkimusalueilla:

Datan perusteinen tekoäly (DataAI),
Robotiikka,
Oulun yliopiston tietoturvallisen ohjelmoinnin tutkimusryhmä (OUSPG),
Bioinformaatioteknologia (Bio-IT).

DataAI-, robotiikka- ja OUSPG-tutkimustiimejämme sijaitsevat Oulun yliopiston Linnanmaan kampuksella. Bioinformaatioteknologiatiimi sijaitsee Kontinkankaan kampuksella. Ks. myös Käyntiosoite.

Datan perusteinen tekoäly

Tutkimusalueen vetäjä: Research area leader: apulaisprofessori Jaakko Suutala

Data-driven AI team conducts high-quality research in the field of computational data analysis and develops methods for diverse real-world modeling problems. Our strengths are a strong, versatile background in engineering, mathematics, statistics, and broad knowledge within application areas.

Tutkimusalueen kuvaus

Tutkimuksen kohokohdat

Robotiikka

Tutkimusalueen vetäjä: projektipäällikkö Antti Tikanmäki

The mission of the Robotics team is to study and develop methods, theories, sensors and platforms for creating mobile robots that are adaptive and capable of performing purposeful tasks in cooperation with humans. The team has participated many robotic EU framework projects and has been granted funded research from Tekes / Business Finland and Academy of Finland for more than ten millions euros. Robotics research activity at BISG includes collaboration with processing industry.

Tutkimusalueen kuvaus

Tutkimuksen kohokohdat

Research topics

Perception for robotics
- Information representation
- Integration of algorithms
- Adaptive systems for current conditions
Advanced performance for robots
- Real time requirements
- Reflex, dynamic control, fast adaptive perception
- Smooth motion trajectories and obstacle avoidance
Energy and cost effective robot building
- Low cost electronics, multiprocessor embedded systems
- Power consumption optimization and knowledge
- Consuming and storing energy-efficiently
Distributed control systems for robotics
- Ad hoc communication and sensing network
- Small embedded nodes for building robots
- Multi robot systems (wheeled, arms, and flying robots)
Routine learning and using it for task planning and scheduling
- Statistics
- How to represent information

Research project examples

Labrobot: Developing food industry with robotics. EAKR (Euroopan aluekehitysrahasto, European Regional Development Fund, ERDF).
HYFLIERS: Oil refinery pipe inspection with flying drones. EU Horizon 2020.
Garbot: Utilizing robotics and AI for material recycling. EAKR (Euroopan aluekehitysrahasto, European Regional Development Fund, ERDF).
Geobot: Utilizing robotics for geopolymer manufacturing. EAKR (Euroopan aluekehitysrahasto, European Regional Development Fund, ERDF).
VED: Low-carbon drone solutions utilisation models and introduction action recommendations. EAKR (Euroopan aluekehitysrahasto, European Regional Development Fund, ERDF).
Environmental mapping and localization of radiation sources with mobile robots. MATINE (Maanpuolustuksen tieteellinen neuvottelukunta).
5GDrone: Utilizing flying drones to measure 5G networks. EU Horizon 2020.
IAEA robotic challenge: Measuring radioactive material storages with robots
ELROB: International outdoor robotics competition
Smart booms 2: Improving the safety of autonomous construction machinery with sensors
OZ+ - Evaluating the sensors of autonomous vehicles in different environmental conditions. EAKR (Euroopan aluekehitysrahasto, European Regional Development Fund, ERDF).

Our robots

Minotaurus

Multimodal perception
- many sensors, external camera network
- Humans: detection, emotion, gesture
- Objects on the table
Information extraction
- Understanding terms in spoken language
- Dialog
- Fetch information from Internet
- Visual speech synthesizing
Minotaurus project: cooperation with CMVS

Mörri robot

First version 2007
All-weather mobile platform
100 kg payload
Next gen on development
BISG Robotics at the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) biennial international robotics competition 2020

Drones

Several commercial and custom-made drones
UAV-UGV cooperation
- Environment scouting for UGV
- Radiation measurement with UAV
- Ground mapping and 3D reconstruction in real-time
Low cost UAV swarms: About 100 EUR copter with external vision

Industrial robots

Robot arms and automation
- Universal robot UR10 collaborative robot
- Kuka KR10
- Beckhoff servos, and Linux based automation
Research
- Remote control
- Sample collecting

Laboratory robots

Smaller robotic arms.

Research topics

Activities of the Robotics Group at BISG include comprehensive knowledge on building robotic platforms for indoor, aquatic and terrain environments: localisation, environmental modelling, software architectures and human-robot interaction, and in particular magnetic field localisation and SLAM (simultaneous localisation and mapping), dynamic motion planning, winter operability for electric vehicles, autonomous water quality sensing.

Fundamental research questions include:

Information representation in robot's software for Integration of algorithms; adaptive systems for current conditions;
Advanced performance for robots involving real time requirements as well as reflex, dynamic control, fast adaptive perception and smooth motion trajectories and obstacle avoidance;
Energy and cost effective robot building implying low-cost electronics, multiprocessor embedded systems as well as power consumption optimisation and knowledge, and consuming and storing energy efficiently;
Distributed control systems for robotics, calling for ad hoc communication and sensing networks, small embedded nodes for building robots, multi-robot systems (wheeled, arms, and flying robots);
Routine learning and using it for task planning and scheduling and related statistics.

Flexible Robot Programming

Modularity enables flexible and reusable design and speeds up prototyping and system development. To achieve this goal, interfaces must be simplified. Decoupling robot control from management of the interfaces towards sensors and actuators, lowers the threshold and allows researcher other than embedded system experts to investigate robotics. The Atomi framework concept (Vallius & Röning 2006) implemented in Qutie robot (Tikanmäki et al. 2007) was developed at BISG before the establishment of robot operating systems such as ROS (robot operating system).

A related spin-off company is Atomia (embedded systems).

Human-Robot Interaction

Multimodal perception exploiting many sensors, external camera network is used for natural human-robot interaction involving detection of emotion and gestures of humans. Tasks include fetching objects on a table. A research problem here is the information extraction: understanding terms in spoken language and dialogue, fetching information from Internet and visual speech synthesising.

This work was part of Minotaurus project.

Mobile Robots

Mobile robots typically operate in unknown environment calling for research on perception, life-time learning, harsh environment.

Mobile robotics are complex real-time systems, hence the research question on how to handle the complexity of building a robotic system. As a reference, humanoid robots include about 100 actuators and more than 100 sensors, thus implying teamwork of mechanics, electronics and software. In addition to complexity, cost is also an issue. For example, the cost of Honda Asimo exceeds one million euros.

Indoor Robotics

Motion and force control involves kinematics of complex wheeled robots, force control of wheeled robots, decentralised control, smooth jerk-limited motion, and formation control. Example: complex delta-robot control.

Indoor navigation based on exploitation of local magnetic field distortion lead to spin-off IndoorAtlas, whose cloud-based technology allows a localisation accuracy of about one to two meters.

Outdoor Robotics

The aim is control of mobile robots in harsh environment. On this theme, the group participated with success in several international robot competitions: C-Elrob 2007 (second in combined scenario), M-Elrob 2008 (winner in Camp security, fourth in Mule scenarios). C-Elrob 2009 (Oulu, 15-18 June), M-Elrob 2014 in Poland ("best innovative solution" award).

The Robotics Group team participated the European Space Agency's Lunar Robot Challenge 2008 and ranked third with the smallest number of penalties (see ESA's article).

See Practising, Day 1 and Day 2&3 at the competition.

In addition to UGVs above, UAV-UGV cooperation is studied, namely: environment scouting for UGV, radiation measurement with UAV, ground mapping and 3D reconstruction in real-time. Low cost UAV (about 100 EUR copter with external vision) swarms are used.

The activities on ground robots originated the spin-off Probot, founded in 2006. Its expertise is in: modular robotics, easily customisable frames, distributed control nodes, real world applications (logistics, gardening, farming, site survey, environment measurement), modular manufacturing (D3000 robot: PCB testing, 3D printing, small series manufacturing), embedded nodes for distributed control.

The research activities on surface robots originated the spin-off Aquamarine Robots. The aims are cost-efficient sensing strategies in terms of sensing time and modeling accuracy to collect water quality information from the target environment. Additional challenges in the water environment follow from the changing weather conditions and fishing/leisure boats navigating in the same area.

Evolutionary Robotics

Evolutionary Robotics on Lego NXT Platform. In Poikselkä, Vallivaara & Röning (2015) it is shown that the low-cost Lego NXT educational set is indeed adequate for simple experiments in evolutionary robotics. This is demonstrated by an experiment, where an artificial neural network-based controller capable of behaving meaningfully in a Lego sumo wrestling context is evolved on physical Lego NXT robots without the aid of simulation. To the authors' knowledge this is the first time the non-simulated Lego NXT is used to conduct artificial neural network-based evolutionary robotics.

See demo on YouTube.

Education and Collaboration

In the framework of euRathlon EU project, the group organised in Oulu the euRathlon TRADR summer school 2016 and the euRathlon Sherpa summer school 2015. In the 2015 edition, alongside lectures by experts, a cooperative task between aerial and surface vehicles was demonstrated.

See a video of the cooperative task.

Oulun yliopiston tietoturvallisen ohjelmoinnin tutkimusryhmä (OUSPG)

Tutkimusalueen vetäjä: professor Kimmo Halunen

Vuodesta 1996 toimineen Oulun yliopiston tietoturvallisen ohjelmoinnin tutkimusryhmän (OUSPG) tarkoituksena on tutkia, arvioida ja kehittää sovellus- ja järjestelmäohjelmistojen toteutus- ja testausmenetelmiä toteutustason tietoturvahaavoittuvuuksien ennakoivaksi ehkäisemiseksi, löytämiseksi ja poistamiseksi. Keskitymme toteutustason tietoturvakysymyksiin ja ohjelmistojen tietoturvatestaukseen.

Tutkimus alueen kuvaus

Tutkimuksen kohokohdat

Bioinformaatioteknologia

Tutkimusalueen vetäjä: professori Seppo Vainio

The objective of Bio-IT (information technology) research area is to better integrate ICT (information and communication technologies) and biotechnology/biomedicine domains. Target outcomes include filling the gaps across both domains and generating novel approaches to achieve better and concrete synergies and integration of these research areas.

Tutkimus alueen kuvaus

Tutkimuksen kohokohdat

With the new strategic openings in Infotech Oulu, the team strives to initiate new projects which will integrate the biological sciences with the high throughput data analysis and processing capabilities.

Biomimetic glucose sensor

In a joint effort with VTT Espoo, we are developing a novel biomimetic glucose sensor which will measure the metabolic glucose level with an internal reference. This sensor doesn't require daily invasive measurements, and thus will be a new line of biocompatible, personalized medical sensing device.

Exosomes as genetic transfer materials

Exosomes are nanovescicles generated by the cell in response to environmental stimulus, and carry genetic material which can reveal the health status of a cell. We are screening for exosomes secreted in response to a kidney injury or disease, and also as a cell derived reprogramming material for genetic engineering purposes.

Genome and the electromagnetic spectrum

Our aim is to set the ground for new openings to identify novel cell-background radiation interactions mechanisms. Specifically, we will address the subtle roles of electrical and magnetic fields interacting with the cell genome, which has been poorly understood so far. This will be accomplished with genome wide biosensor screening tests performed by automated handling robots.

Towards a holistic self-awareness in humans and AI

Self-awareness is involved in a number of cognitive functions of the human brain and correspondingly its disturbances are part of a number of disease of various statistical relevance. Self-awareness may also improve the efficiency in robotic systems by a more conscious execution of tasks (Celentano and Röning 2016a). Interaction among concurrent cognitive entities further expands the model in Celentano (2014).

For multi-robot systems, various cognitive and social inputs can be used for self/nonself discrimination, including the observation of the self, of the environment and of neighbour entities, as well as the exploitation of social interaction among agents. For example, even if the final outcome (e.g., relative positions of more robots) may look similar, it is important to discriminate what I am doing from what the others are doing. (Celentano and Röning 2016a) Sharing knowledge among agents further improves awareness (Celentano and Röning 2016a, 2016b).

In line with BISG strategy, cognitive functions in humans and in artificial entities are in this research collaboratively studied side by side to allow exploiting the results in both domains bridging neuroscience and artificial intelligence.

Projektit

Ks. myös englanninkielinen projektiosio.

Tutkimusprojektit

Lisää tutkimusprojekteja

integRated intElligent multi-modal tRanspOrt infrastrUcTurE: distributed localised decision-making at the network edge

Adapting Cyber Awareness for Evolving Computing Environments

Provably Authentic Model Training in Machine Learning

AI-based cybersecurity management for organisations and local networks

Safe biomonitoring by bioICT integrated wearables

Urban Environment and Climate Change in the Arctic: Data-driven Intelligence Approach to Multihazard Mitigation

RoboMesh

Fast Forward 2020

GeneCellNano

Next Generation Health Technology Assessment

HYbrid FLying-rollIng with-snakE-aRm robot for contact inSpection

Product Security for Cross Domain Reliable Dependable Automated Systems

Sensor Within: Harnessing Human Biology for Sensing Applications

Tekoälyjärjestelmien haavoittuvuuksien testausalusta. MATINE. 2/2023 – 12/2024.

TORQS (Towards reliable quantum software development approaches and use-cases). Business Finland. 1/2023 – 12/2024.

Suoritettava tietoturvasertifikaatti. MATINE. 2022 - 2023.

5GDrones (5G for Drone-based Vertical Applications). EU Horisontti 2020 ICT-19-2019 RIA. 6/2019 – 9/2022.

ABIDI (Context-aware and Veracious Big Data Analytics for Industrial IoT) CHIST-ERA ja Suomen Akatemia. 9/2019 – 8/2022.

Sensor Within: Harnessing Human Biology for Sensing Applications. Infotech. 1/2018 – 12/2021.

Low-carbon drone solutions utilisation models and introduction action recommendations (VED) EAKR. 8/2019 – 7/2021.

Arctiq DC (Arctic Datacenters). 1/2019 – 7/2021.

CS-AWARE A cybersecurity situational awareness and information sharing solution for local public administrations based on advanced big data analysis. Horisontti 2020. 9/2017 – 12/2020.

Garbot Utilizing robotics and AI for material recycling. EAKR. 6/2017 – 2/2020.

GeoBot Robotics for geopolymer material research and manufacturing. EAKR. 11/2018 – 12/2019.

Labrobot EAKR. 9/2016 – 10/2019.

Situation Awareness in Information and Cyber Security (SAICS). Suomen Akatemia. 7/2014 – 6/2016.

European Robotics Research Network EURON. EU-FP6 Network of Excellence.

Minotaurus (Human-machine interaction in intelligent sensor network). EAKR. Jan 2009 – Dec.2012.

XPRESS (fleXible PRoduction Experts for reconfigurable aSSembly technology).

ROBOSWARM (Knowledge Environment for Interacting ROBOt SWARMs). 11/2006 – 4/2009.

€-Confidential. ITEA. 9/2006 – 3/2009.

SAMURAI (Smart Archive: Management, Utilization and stoRAge of continuously measured Information). Tekes. 11/2006 – 2/2008.

PROTOS Genome. 2004 – 2007.

PROTOS (Security Testing of Protocol Implementations). MATINE. 2002 – 2003.

SIOUX (Intelligent system for dynamic online quality control of spot welding processes for cross-sectoral applications). EU-FP6. 10/2002 – 10/2004.

VALTA (VALssauksen TArkentaminen). 1/2002 – 2/2004.

Hi-TechSteel. Tekes. 1/1999 – 12/2002.

PROTOS (Security Testing of Protocol Implementations). Tekes. 1999 - 2001.

RoboCup (Experiments on Reactive Control Architecture). 1/1996 – 12/1998.

RockEU2. Horisontti 2020.

ReBorn. EU-FP7.

euRathlon EU-FP7, Horisontti 2020.

SOCRATE (Exploiting Social Structure for Cooperative Mobile Networking). WiFiUS ohjelma, Tekes / Business Finland.

GlobalRF (Global RF Spectrum Opportunity Assessment). WiFiUS ohjelma, Tekes / Business Finland.

INCA. Suomen Akatemia.

Cyber Trust. Tekes.

SIMP (System Integrated Metal Processes). Tekes.

MOPO. EAKR, Tekes.

PROB2E (Probability Predictions to Production Efficiency). Tekes.

Impress.

FRONTIER-COMPAT (inferring causal relationships in complex systems). Tekes.

Adaptive And Intelligent Systems Applications. Tekes.

CRS (3D color range scanner). Tekes.

MOVE. Suomen Akatemia.

Evolutionary active materials. Suomen Akatemia.

PROTOS-MATINE. MATINE.

FRONTIER-RIDAC.

ROSEMAN (RObots SErving huMANs).

Classification Of Melanocytic Lesion With Machine Vision.

Psoriasis Area Assessment With Machine Vision.

Julkaisut

Löydät julkaisumme Oulun yliopiston julkaisuarkistolta:

OuluCRIS-tutkimustietojärjestelmä

Vaikutus

Tieteellisten julkaisujen lisäksi Biomimetiikka ja älykkäät järjestelmät -tutkimuksen vaikuttavuus näkyy myös sen osallistumisena standardointielimiin ja spin-off-yrityksien tuomaan innovaatioon.

Yhteistyö

Standardointi

BISG on aktiivinen useissa standardointihankkeissa.

ISO/IEC JTC1/SC27, jonka toimintaan kuuluvat tietoturvan hallintajärjestelmät, salaus- ja turvallisuusmekanismit, turvallisuuden arviointi, testaus ja määrittely, turvatarkastukset ja -palvelut sekä identiteetinhallinta- ja tietosuojateknologiat.

ISO/TC 299, jolla on työryhmiä muun muassa henkilökohtaisten palvelurobottien turvallisuudesta ja palvelurobottien modulaarisuudesta.

Yhteistyötoiminta

Merkittäviä kansainvälisiä toimia, joilla on BISG näkyy tutkimushankkeiden (ks. Projektit -osio) ja standardoinnin lisäksi, ovat seuraavat:

SPARC robotics PPP on Euroopan komission sekä Euroopan teollisuuden ja tiedeyhteisön välinen julkisen ja yksityisen sektorin kumppanuushanke, jolla helpotetaan robotiikkateollisuuden ja arvoketjun kasvua ja vaikutusmahdollisuuksien lisäämistä tutkimuksesta tuotantoon.

euRobotics aisbl (association internationale sans but lucratif = yleishyödyllinen yhditys) on Brysselissä toimiva kansainvälinen voittoa tavoittelematon yhdistys, joka toimii kaikille Euroopan robotiikan sidosryhmille. euRobotics perustuu Euroopan robotiikkateknologiayhteisön (European Robotics Technology Platform, EUROP) ja akateemisen Euroopan robotiikkaverkoston (European Robotics Network, EURON) menestykseen, ja se paitsi jatkaa yhteistyötä myös vahvistaa näiden kahden yhteisövetoisen organisaation jäsenten välistä sidettä. Näin ollen koko Euroopan robotiikkayhteisölle perustetaan vain yksi kestävä organisaatio.

Centre for Advanced Steel Research (CASR), kansallinen terästutkimuskeskus, joka keskittyy terästen kemialliseen, mekaaniseen ja fysikaaliseen metallurgiaan, mukaan lukien automaatio, tietotekniikka ja mallinnus.

Yhteistyöyliopistot ja -teollisuuskumppanit

BISG tekee yhteistyötä eurooppalaisten ja laajemmin maailman yliopistojen sekä kansallisten ja monikansallisten teollisuuskumppaneiden kanssa.

Innovaatiot

Koulutus

Tarjoamme kursseja ja ohjausta osaamisalueillamme.

Ohjaus

Opetus

Yhteystiedot

Jos haluat keskustella mahdollisista työllistymis- tai yhteistyömahdollisuuksista tai jos etsit opinnäytetyön ohjaajaa, älä epäröi ottaa meihin yhteyttä.