Teknologiseminar

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=== Møteplan ===
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=== Meeting structure ===
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Sted: SMA / fourMs 4. etasje veilabben.
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Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus / [http://gather.town gather town]
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Når: Tirsdager 13-15 (se under for datoer)
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13:00-13:15 Gruppesaker/ordet fritt, '''møt presis!'''
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12:00-12:15 Brief exchange of recent news, plans, updates, etc.
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13:15-14:15 Faglig seminar
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14:15-15:00 Forskningspresentasjon
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=== Formål ===
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~12:20-12:40 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
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Målet med disse seminarene er først og fremst å få bredere kunnskap om
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allerede brukte teknologier innenfor ROBINs ønskede kunnskapsområde.
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F.eks. er det en fordel å vite om alternative heuristikker til GA og hva
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slags andre former for "intelligente" systemer som finnes.
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Whatever content you present, remember that some of those attending have no advance knowledge about your project or work so introduce it in the beginning and stay focused on the main issues/challenges etc. Thus, '''make your presentation simple and understandable for as many as possible.'''
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=== Temaplan ===
 
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{|class="wikitable"
 
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| Når || Tema || Ansvarlig
 
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|-
 
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| 27.01.2009 ||  || 
 
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|-
 
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| 10.02.2009 ||  || 
 
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|-
 
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| 24.02.2009 ||  || 
 
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|-
 
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| 10.03.2009 ||  || 
 
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|-
 
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| 24.03.2009 ||  || 
 
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|-
 
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| 21.04.2009 ||  || 
 
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|-
 
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| 05.05.2009 ||  || 
 
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|-
 
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| 19.05.2009 ||  || 
 
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|-
 
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| 02.06.2009 ||  || 
 
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|-
 
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| 16.06.2009 ||  || 
 
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|-
 
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|}
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=== Dates and subjects - Spring 2024 – Thursdays 12:15-13:00 ===
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'''5-20 min housekeeping/updates + 20 min talk '''
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{| class="wikitable"
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{|class="wikitable"
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| Når ||Hvor || Sem || Ansvarlig
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|-
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| '''Gjennomførte sesjoner'''
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|-
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| 7.05.2007 || MES-pauserom || Innføring i søkemetoder og heuristikker || Kyrre
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|-
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| 21.05.2007 || MES-p || Hill climbing, binary hill climing, (simulert størkning) || Mats
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|-
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| 21.01.2008 || Sem Rom B || Hidden Markov Models (HMM) || Mats
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|-
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| 28.01.2008 || Sem Rom C || Hidden Markov Models (HMM) del 2 || Yngve
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|-
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| 03.03.2008 || Sem Rom C || Hidden Markov Models (HMM) del 3 || Yngve
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|-
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| 31.03.2008 || Sem Rom C || Bayesiske og andre former for mønstergjenkjenning || Marcus
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|-
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| 07.04.2008 || Sem Rom C ||  || Lena
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|-
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| 14.04.2008 || Sem Rom C || ANN || Jim
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| 21.04.2008 || Sem Rom C || Kompleksitet || Kyrre
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| 28.04.2008 || Sem Rom C || ? || Mats
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|-
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| 19.05.2008 || Sem Rom C || Distal Supervised Learning || Mats 
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|-
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| 26.05.2008 || Sem Rom C || Lage kretskort || Yngve 
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|-
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|'''When''' || '''What'''||  '''Who''' 
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|  18.01 ||  Christmas decorations removal || All present
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|-
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|  25.01 || Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs [https://www.uio.no/ritmo/english/people/phd-fellows/bthj/presentation/slides/sound-innovation-engine-1.0-(robin).pdf] || Björn Þór Jónsson
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|-
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|  01.02 || Python testbenches in FPGA/ Digital Design course || Yngve Hafting
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|-
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|  08.02 || Round-table updates || All present
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|-
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|  15.02 ||  UiO winter activity day [https://foreninger.uio.no/bil/english/winter-activities-day/] || No ROBIN lunch meeting
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|-
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|  22.02 || Possible collaborations with Oslo-Met in energy aware AI hardware and real-time robotics || Ali Muhtaroglu
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|-
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|  29.02 || Mechatronics course IN1080 || Mats
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|-
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|  07.03 || Large Language Models applied to robot tasks (contact Jim for a copy of the presentation) || Exchange student Maeda (Kyushu University)
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|-
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|  14.03 || Design through Growth || Elias 
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|-
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|  21.03 || Large Language Models used in research – a great or illegal tool? || Interaction with intro from Jim
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|-
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|  28.03 || Easter Break || --
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|  04.04 || Experiences at IRCAM Forum Workshops 2024: XR Music System and IRCAM tools/Projects || Pedro Lucas
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|-
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|  11.04 || Work environment survey presentation || Jim
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|-
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|  18.04 || Work environment survey follow-up AT 3PM || Jim
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|-
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|  25.04 || Work at Graphcore and new startup: brua.io || Arjun Chandra and Alfredo Clemente
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|  02.05 || Augmenting motion samplers with learned foresight to improve robot manipulation planning || Shin
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|  09.05 || Ascension Day || --
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|  16.05 || ||
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|  23.05 || Explaining, interpreting, and decision tuning ML-models built on tabular data || Tom F. Hansen
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|  30.05 || || Kai Olav Ellefsen
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|}
|}
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=== Oversikt over mulige temaer (bare å legge til mer!) ===
 
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* Wavelets
 
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* AI: state-of-the-art
 
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** oversikt
 
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** ekspertsystemer
 
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** Fuzzy logic, hva er det?
 
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** ...
 
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* Robotstyring/kontroll
 
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** motorstyring, PID
 
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** høynivå resonnering
 
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** robotstyringsarkitekturer
 
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** simuleringsmetoder
 
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* sansing
 
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** mønstergjenkjenning
 
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** support vector machine
 
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** høynivå bildegjenkjenning
 
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* Nevrale nettverk
 
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** feed-forward-nettverk og back-propagation
 
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** kohonen / self organizing maps
 
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** rekursive nettverk / hopfield / ...
 
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** læring: supervised/unsupervised/reinforcement
 
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** spiking networks
 
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* søkemetoder / heuristikker / optimalisering / metaheuristikker
 
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** hill climbing
 
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** simulated annealing
 
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** tabu search
 
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** ...
 
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[[PreviousSeminars|Overview of earlier seminars]]
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* evolusjon / kompleksitet
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=== Examples of interesting topics for technology introduction ===
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** self-organization
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Feel free to add topics to the wishlist!
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** development
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** ...
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* Robotics
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** Reinforcement learning for robotics
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** SLAM
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** embodied cognition
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** Swarm
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* Litteratursøk og oppdatering
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* Neural networks
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** hvordan søke i litteratur
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** Recursive NNs and LSTMs
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** NEAT / HyperNEAT
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** Deep NNs
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=== Timeplan og ansvarlige ===
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* Evolutionary algorithms and other types of optimization
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Hvis noen finner ut at de vil snakke om noen av temaene over, er det bare å føre seg opp på dette, selv om man ikke vet tid ennå.
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** Performance comparison of EAs (statistical tests)
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Den som føres opp som ansvarlig for temaet har ansvar for å finne fram dokumentasjon og presentere denne for resten. Men det er selvfølgelig åpent for (og oppfordres til) diskusjon. ''Det vil være en fordel om den som skal ha seminaret sender ut noe å lese på noen dager i forveien, slik at folk kan forberede seg hvis de har anledning.'' På denne måten blir det nok mer flyt i diskusjonen.
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** Differential evolution
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** Diversity preservation methods
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** Novelty search, MAP-Elites and variants
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** Bayesian optimization
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Hvis man har lyst til å være med på noe, men ikke har tid den dagen, bør vi finne en løsning på dette, f.eks. ved å forandre datoen.
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* Tools
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** SLURM
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** R
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** Python as alternative to R, incl. matplotlib
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** ROS
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** Deep learning frameworks and practice
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** Unity ML agents

Revision as of 06:55, 18 April 2024

Meeting structure

Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus / gather town

12:00-12:15 Brief exchange of recent news, plans, updates, etc.

~12:20-12:40 Presentation on: Technology / Own Research / Journal review (see guidelines), time excludes discussion

Whatever content you present, remember that some of those attending have no advance knowledge about your project or work so introduce it in the beginning and stay focused on the main issues/challenges etc. Thus, make your presentation simple and understandable for as many as possible.


Dates and subjects - Spring 2024 – Thursdays 12:15-13:00

5-20 min housekeeping/updates + 20 min talk

When What Who
18.01 Christmas decorations removal All present
25.01 Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs [1] Björn Þór Jónsson
01.02 Python testbenches in FPGA/ Digital Design course Yngve Hafting
08.02 Round-table updates All present
15.02 UiO winter activity day [2] No ROBIN lunch meeting
22.02 Possible collaborations with Oslo-Met in energy aware AI hardware and real-time robotics Ali Muhtaroglu
29.02 Mechatronics course IN1080 Mats
07.03 Large Language Models applied to robot tasks (contact Jim for a copy of the presentation) Exchange student Maeda (Kyushu University)
14.03 Design through Growth Elias
21.03 Large Language Models used in research – a great or illegal tool? Interaction with intro from Jim
28.03 Easter Break --
04.04 Experiences at IRCAM Forum Workshops 2024: XR Music System and IRCAM tools/Projects Pedro Lucas
11.04 Work environment survey presentation Jim
18.04 Work environment survey follow-up AT 3PM Jim
25.04 Work at Graphcore and new startup: brua.io Arjun Chandra and Alfredo Clemente
02.05 Augmenting motion samplers with learned foresight to improve robot manipulation planning Shin
09.05 Ascension Day --
16.05
23.05 Explaining, interpreting, and decision tuning ML-models built on tabular data Tom F. Hansen
30.05 Kai Olav Ellefsen


Overview of earlier seminars

Examples of interesting topics for technology introduction

Feel free to add topics to the wishlist!

  • Robotics
    • Reinforcement learning for robotics
    • SLAM
    • embodied cognition
    • Swarm
  • Neural networks
    • Recursive NNs and LSTMs
    • NEAT / HyperNEAT
    • Deep NNs
  • Evolutionary algorithms and other types of optimization
    • Performance comparison of EAs (statistical tests)
    • Differential evolution
    • Diversity preservation methods
    • Novelty search, MAP-Elites and variants
    • Bayesian optimization
  • Tools
    • SLURM
    • R
    • Python as alternative to R, incl. matplotlib
    • ROS
    • Deep learning frameworks and practice
    • Unity ML agents
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