Teknologiseminar

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(Dates and subjects - Spring 2021 – Thursdays 12:00-12:45)
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~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion
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=== Dates and subjects - Spring 2021 – Thursdays 12:00-12:45 ===  
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=== Dates and subjects - Autumn 2021 – Thursdays 12:00-12:45 ===  
'''5-20 min housekeeping/updates + 15 min talk (casual meetings = round-table)'''
'''5-20 min housekeeping/updates + 15 min talk (casual meetings = round-table)'''
{| class="wikitable"
{| class="wikitable"
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|'''When''' || '''What'''||  '''Who'''   
|'''When''' || '''What'''||  '''Who'''   
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21.01 || Who is Diana? What will she do here? || Diana
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02.09 || Title of presentation || Who?
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28.01 || Casual meeting || └[∵┌]└[ ∵ ]┘[┐∵]┘
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09.09 || ||  
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04.02 || The ROBIN API (Slides can be found [https://slides.com/vegardds/robin here]) || Vegard
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16.09 || ||  
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11.02 || Introduction to the [https://www.uio.no/ritmo/english/projects/pirc/ Predictive and Intuitive Robot Companion (PIRC)] project || Jim – [https://robin.wiki.ifi.uio.no/images/6/6c/JimTorresen-PIRC-RCN-project-intro-ROBIN-seminar-Feb-2021-ho.pdf Presentation]
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23.09 ||  ||  
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18.02 || Casual meeting (With short presentation from Andrija) || └[∵┌]└[ ∵ ]┘[┐∵]┘  
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30.09 || Casual lunch meeting ||  Bring your own lunch
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25.02 || Do your dance moves seem too robotic? You might be one of Benedikte's trained networks. || Benedikte
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07.10 || ||  
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04.03 || Making Sense of Randomness? An Information-based analysis of iEEG || Julian
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14.10 || ||  
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11.03 || Casual meeting || └[∵┌]└[ ∵ ]┘[┐∵]┘
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21.10 || Casual lunch meeting || Bring your own lunch
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18.03 || Jørgen's trial lecture || Jørgen
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28.10 || ||  
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25.03 || Journal review. Journal: Frontiers in Robotics and AI: Evolutionary Robotics || Emma
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04.11 || ||  
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01.04 || Easter holiday ||  ˭̡̞(◞⁎˃ᆺ˂)◞*✰
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11.11 || Casual lunch meeting ||  Bring your own lunch
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08.04 || Multimodal Elderly Care Systems (MECS) dataset || Farzan
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18.11 || ||  
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15.04 ||  || Mike
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25.11 ||  ||  
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| 22.04 || Casual meeting || ฅ/ᐠ。ᆽ。ᐟ \
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| 02.12 || Casual lunch meeting || Bring your own lunch
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| 29.04 || Autonomous Robotic Inspection Planning || Kai
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| 09.12 || ||  
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06.05 ||  || Update by participants
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16.12 ||  ||  
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|  13.05 || National holiday ||  ˭̡̞(◞⁎˃ᆺ˂)◞*✰
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|  To be continued || in January ||  (remove this note to confirm)  
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|  20.05 || genLib - our local CAD/generative design library || Mats
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|  27.05 || Measure while drilling for automated decisions in rock tunnelling  || Tom
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|  03.06 || Casual meeting || └[∵┌]└[ ∵ ]┘[┐∵]┘
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|  10.06 || Evolving shapes of compliant robots || Andrija
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|  17.06 ||  || Ole Jacob
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|  24.06 || Casual meeting || └[∵┌]└[ ∵ ]┘[┐∵]┘
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|  To be continued || in August ||  (remove this note to confirm)  
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|}
|}

Revision as of 08:04, 31 August 2021

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.

~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see guidelines), time excludes discussion

Dates and subjects - Autumn 2021 – Thursdays 12:00-12:45

5-20 min housekeeping/updates + 15 min talk (casual meetings = round-table)

When What Who
02.09 Title of presentation Who?
09.09
16.09
23.09
30.09 Casual lunch meeting Bring your own lunch
07.10
14.10
21.10 Casual lunch meeting Bring your own lunch
28.10
04.11
11.11 Casual lunch meeting Bring your own lunch
18.11
25.11
02.12 Casual lunch meeting Bring your own lunch
09.12
16.12
To be continued in January (remove this note to confirm)

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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